AI Engineer Jobs

Our client, a growing Insurance company, are hiring a Software Engineer to join their team in New York. The successful candidate will help build the infrastructure that transforms one of the world's largest and most complex insurance datasets, while having the opportunity to ship rapidly, tackle challenging technical problems and take on increasing ownership as the company grows.


Responsibilities

• Design, build and deploy production software across backend, infrastructure and customer-facing product.

• Build scalable data ingestion, processing and enrichment pipelines that extract structured information from complex, document-heavy insurance sources.

• Integrate and enrich insurance data using APIs, asynchronous workflows and 100+ external datasets.

• Develop AI-native models and workflows that transform unstructured data into actionable pricing intelligence, underwriting insights and placement decisions.

• Build product experiences that enable customers to organize, analyze and act on their insurance portfolios.

• Work closely with the CTO and founding engineering team to identify opportunities, make technical decisions and rapidly deliver solutions.

• Take ownership of projects from initial concept through implementation, deployment and iteration.

• Solve complex technical and data challenges while continuously improving the engineering architecture, tooling and development practices as the company scales.

Skillset

• At least 2 years of software engineering experience, with a proven ability to ship production-ready products and features.

• Previous experience as a founding or early-stage engineer, or in a small, fast-moving team with significant autonomy and ownership.

• Strong full-stack engineering skills, with the flexibility to work across backend, infrastructure and customer-facing product development.

• Hands-on experience building data-intensive systems, including APIs, data pipelines, asynchronous workflows and enrichment processes.

• Comfortable working with unstructured and semi-structured data and solving complex data quality and integration challenges.

• Strong interest in AI-native development, with experience using modern AI tools to accelerate development and improve productivity.

• A strong bias toward action, with a focus on experimentation, iteration and shipping rather than unnecessary process.

• Demonstrated ownership and initiative, with the ability to thrive in ambiguous, rapidly changing environments.

• Excellent problem-solving and analytical skills, with genuine curiosity about complex technical and business challenges.

• Startup experience is highly valued; specific industry or technology experience is less important than your ability to think critically, build effectively and execute quickly.

Benefits

• Salary: $170k.

• Equity.

• Health insurance.

• Relocation support.

Our client, an AI-driven company within the real estate sector, is hiring a Senior Software Engineer to join their team in New York. The successful candidate will play a key role in designing and delivering scalable systems that address complex, high-impact challenges.


Responsibilities

• Design, build and deliver production-grade software across the company's AI platform.

• Own major systems end to end, from architecture decisions through to implementation and delivery.

• Work closely with the CTO and founding team to define product direction and technical strategy.

• Build AI-powered workflows, including LLM pipelines and agentic systems where accuracy and reliability are critical.

• Develop solutions for complex legal, financial and institutional data challenges.

• Make thoughtful architecture decisions and solve complex engineering problems in ambiguous environments.

• Champion software quality, data integrity, security and reliability across the platform.

• Collaborate cross-functionally to deliver intuitive products for families and professionals.

Skillset

• At least 5 years of experience designing, building and delivering production-grade software solutions.

• Strong programming skills with Python and/or TypeScript.

• Proven experience designing scalable systems and making effective architecture decisions.

• Familiarity with LLM pipelines, AI agents, or the ability to quickly learn and apply emerging AI technologies.

• Strong focus on software correctness, reliability and working with sensitive or regulated data.

• Experience working with databases such as PostgreSQL and data-intensive systems.

• Strong problem-solving skills with a proactive approach to delivering impactful solutions.

• Experience working within fintech, legaltech, healthtech or other regulated industries is a plus.

• Previous startup experience is a bonus.

Benefits

• Salary: $170k - $230k

• Equity.

• Health insurance.

• 401(k).

Our client, a fast-growing AI technology company is hiring a hands-on Director of Software Engineering to join the team in Cleveland, Ohio. The successful candidate will provide strategic and technical leadership across multiple engineering teams, from building high-performing teams, scaling complex software platforms, strengthening engineering practices, and delivering secure, reliable, enterprise-grade technology.


Responsibilities

• Provide strategic and technical leadership across multiple software engineering teams.

• Develop engineering roadmaps aligned with business objectives, product strategy and organizational growth.

• Lead, mentor and develop Engineering Managers and Senior Engineers while building high-performing teams.

• Oversee the delivery of complex software initiatives, ensuring quality, reliability and timely execution.

• Establish engineering standards, architectural principles, coding practices and operational best practices.

• Guide system architecture, scalability, platform modernisation and long-term technical strategy.

• Ensure software solutions meet high standards for performance, security, reliability and availability.

• Drive continuous improvement across Agile, DevOps, CI/CD and quality assurance practices.

• Partner with Product, Data, Security, Infrastructure and other cross-functional teams to align priorities and delivery.

• Communicate engineering strategy, performance, risks and priorities to senior and executive stakeholders.

Skillset

• Bachelor's or Master's degree in Computer Science, Engineering or similar.

• At least 10 years of software engineering experience, including a minimum of 5 years in senior engineering leadership roles.

• Proven track record leading large, distributed or multidisciplinary engineering teams.

• Strong expertise in modern software development, cloud architecture, DevOps and CI/CD practices.

• Experience designing and delivering scalable enterprise software, microservices, APIs and distributed systems.

• Demonstrated success delivering complex software products and platforms at scale.

• Strong understanding of high-availability, secure, and resilient systems.

• Hands-on experience with AWS, Azure, or GCP, alongside Kubernetes, containers and Infrastructure as Code.

• Excellent leadership, communication, stakeholder management and strategic decision-making skills.

• Experience managing engineering budgets, workforce planning and operational performance.

Benefits

• Salary: $150k - $200k.

• Performance Bonus.

Our client, a growing AI and Data organization, is hiring a Founding Data Engineer to join the team. The successful candidate will help transform enterprise data into actionable intelligence by building the backend systems, data pipelines, connector frameworks and graph-based knowledge models that power their Agentic AI applications.


Responsibilities

• Build reliable, scalable data ingestion and transformation pipelines across structured, semi-structured and unstructured data sources.

• Develop and maintain connector frameworks that integrate enterprise systems, including ERPs, PLMs, CRMs, legacy platforms, email, Excel, documents and web APIs.

• Design and enhance the Data Fabric layer, including knowledge graphs enriched with ontologies, metadata and relationships.

• Prepare, enrich, normalize and vectorize enterprise data for AI and LLM applications, including RAG, summarization and intelligent alerting.

• Establish and maintain data contracts, access layers, lineage, governance and data quality processes.

• Develop secure APIs that enable services, AI agents and users to access and query enriched semantic data.

• Partner with ML and LLM teams to provide high-quality enterprise data for model training, tuning and AI applications.

• Build robust systems that support schema evolution, observability, scalability and reliable production operations.

Skillset

• Minimum of 5 years of experience designing, building and operating large-scale data infrastructure in production environments.

• Strong hands-on experience with data ingestion frameworks such as Kafka, Airbyte, Meltano or Fivetran, alongside orchestration tools such as Airflow, Dagster or Prefect.

• Proven experience working with structured, semi-structured, and unstructured data, including PDFs, Excel, emails, logs, CSVs and web APIs.

• Experience with columnar data stores, object storage and modern lakehouse technologies such as Iceberg, Delta or Parquet.

• Strong understanding of knowledge graphs and semantic modelling, with experience using platforms such as Neo4j, RDF, Gremlin or PuppyGraph.

• Experience designing and developing GraphQL and REST APIs, as well as scalable and developer-friendly data access layers.

• Strong knowledge of data governance principles, including RBAC, ABAC, data contracts, lineage and data quality.

• Experience with vector databases and embedding pipelines, including technologies, such as Weaviate, Qdrant or Pinecone, is highly desirable.

• Familiarity with enterprise connector ecosystems, ontology versioning, graph diffing and semantic schema alignment is an advantage.

• Exposure to RAG pipelines, LLM fine-tuning, Linked Data, W3C standards or modern data fabric architectures is a plus.

Benefits

• Salary: $150k - $200k.

• Equity.

Our client, a growing AI startup within the financial services industry, is hiring a Founding Engineer to join their team in New York. The successful candidate will be responsible for building customer-facing products, developing robust data infrastructure, enhancing AI agents, and creating the tools that enable the organization to continuously expand and become a leader in the financial market.


Responsibilities

• Design, develop and deploy frontend and customer-facing features, including real-time systems that respond to changing information.

• Build data pipelines, tools and infrastructure that enable analysts to integrate new sources and expand sector coverage efficiently and reliably.

• Enhance the tools, skills and infrastructure that improve the capability, reliability and autonomy of AI agents.

• Contribute across the full technology stack, spanning data, backend, infrastructure and frontend development.

• Take ownership of projects from inception through to production, including data validation, QA, instrumentation, deployment and ongoing maintenance.

• Apply sound engineering judgment to determine when AI-driven reasoning is appropriate and when deterministic software provides the better solution.

• Develop robust agent infrastructure with a focus on reliability, observability, durable execution and appropriate controls.

Skillset

• Demonstrated experience designing, building and operating production-grade software.

• Strong expertise in backend engineering, data infrastructure, applied AI or product development.

• Hands-on experience using AI agents to solve real-world business and engineering problems.

• Experience orchestrating coding agents and working effectively with multiple agentic systems.

• Strong technical judgment when determining whether to leverage AI reasoning or deterministic software.

• Ability to work across the technology stack and quickly adapt to new tools, technologies and infrastructure.

• A strong sense of ownership, with the drive to take responsibility for outcomes from start to finish.

• Comfortable working in a fast-paced, early-stage environment where priorities and challenges evolve rapidly.

• Strong understanding of building reliable, observable and scalable production systems.

• Experience in capital markets, financial research or investment technology is a bonus.

Benefits

• Salary: $150k - $200k.

• Equity.

Our client, a fast-growing AI-native software company, is hiring a Senior Product Manager to join the team in New York. The successful candidate will own the vision, strategy and roadmap for the AI-native platform, translating emerging AI capabilities into practical, reliable products that solve real-world problems for Managed Service Providers (MSPs) and small-to-medium business (SMB) customers.


Responsibilities

• Own the product vision, strategy and roadmap for core products.

• Lead high-velocity product cycles, partnering closely with engineering and design to deliver frequent, high-quality releases.

• Act as the voice of the customer through ongoing discovery with MSP and SMB users, translating insights into clear product direction.

• Evaluate and apply AI capabilities including LLMs, RAG pipelines, embeddings, fine-tuning, prompting strategies and model evaluation.

• Drive alignment across engineering, design and stakeholders with clear objectives and strong prioritization

• Balance data, user insight and product judgement to make confident decisions in ambiguous environments.

• Help shape product management practices, frameworks and operating rhythms as the company scales.

• Rapidly prototype and iterate using modern product and design tools to communicate ideas effectively.

Skillset

• Bachelor's degree  with at least 4 years of product management or adjacent product-building experience (e.g. founding engineer, growth PM, technical program manager).

• Strong understanding of AI/LLM concepts, including prompting, embeddings, RAG, fine-tuning, and evaluation.

• Proven ability to lead cross-functional teams in fast-paced environments.

• Strong prioritization skills with the ability to focus on high-impact work in complex, ambiguous settings.

• Proficiency with tools such as Figma, Notion, Linear or equivalents.

• Experience building AI-powered products from concept to scale is a plus.

• Background in high-growth startup environments with rapid iteration cycles.

• Experience in MSP, IT services or SMB software domains is a bonus.

• Excellent written and verbal communication skills, with the ability to engage both technical and non-technical stakeholders.

Benefits

• Salary: $140k - $190k.

Our client, a growing Agentic AI-driven startup, is hiring a Platform Engineer to join the team in San Francisco. The successful candidate will take ownership of the reliable operation, deployment and continuous improvement of the platform across all product lines, including SaaS and customer self-hosted environments.


Responsibilities

• Deploy, manage and continuously upgrade platform environments across SaaS and customer-hosted infrastructure.

• Monitor deployments, proactively identify issues and implement effective solutions before they impact customers.

• Provide technical support to customers, including troubleshooting, customization and tailored solutions.

• Develop and improve internal processes for software releases, platform operations and customer support.

• Build internal tools that improve troubleshooting, automation and day-to-day operational efficiency.

• Participate in on-call rotations and lead production incident response through to resolution.

• Collaborate with engineering and customer-facing teams to enhance platform reliability, performance and overall user experience.

Skillset

• Strong Linux troubleshooting and debugging skills, with the ability to diagnose and resolve complex system-level issues.

• Deep understanding of Linux systems, including cgroups, filesystems, processes and container technologies.

• Hands-on experience with Kubernetes, including workloads, networking, volumes, ConfigMaps and Secrets.

• Experience working with major cloud platforms such as AWS, GCP, Azure or OCI, alongside Terraform.

• Solid understanding of software deployment, release management and operational processes.

• Knowledge of distributed systems, networking and security fundamentals.

• Proficiency with Linux tools and technologies including Bash, SSH, jq, curl, TCP/UDP, Unix sockets, ps, strace and /proc.

• Familiarity with Go and TypeScript, with the ability to work across multiple programming environments.

• Experience working with infrastructure and services such as Redis and MongoDB.

• Excellent communication, customer service and problem-solving skills.

Benefits

• Salary: $200k - $250k.

• Comprehensive benefits package.

Our client, a growing AI SaaS organization, is hiring a Senior Software Engineer to join the team in New York. The successful candidate will combine modern software engineering with artificial intelligence, working with emerging technologies and advanced AI frameworks to build and deliver scalable, production-ready solutions for the company's Managed Service Providers (MSPs) and SMB clients.


Responsibilities

• Partner with cross-functional teams to define, design, prototype and deliver new product features.

• Design, build and maintain scalable frontend and backend applications.

• Develop responsive, intuitive user experiences across multiple devices and platforms.

• Build clean, maintainable abstractions and interfaces for an integration-focused technical product.

• Improve application performance, reliability and scalability.

• Investigate, troubleshoot and resolve technical issues across the application.

• Participate in code reviews and help establish and maintain engineering best practices.

• Keep up to date with emerging technologies, AI frameworks and modern software engineering practices.

• Help shape the platform's architecture, technical roadmap and long-term direction.

Skillset

• At least 4 years of full-stack software engineering experience, with a strong track record of building and shipping production web applications.

• Strong proficiency in React, TypeScript and server-side development.

• Experience designing and integrating RESTful APIs and working with asynchronous programming.

• Strong understanding of software architecture, application performance, scalability and maintainability.

• Experience with Git and modern development workflows, including CI/CD and deployment processes.

• Hands-on experience with generative AI APIs, streaming outputs, embeddings and tool calling.

• Experience working with cloud infrastructure and container orchestration technologies.

• Familiarity with testing frameworks such as Jest or Cypress, along with strong software quality practices is a plus.

• Working knowledge of PostgreSQL/SQL, including Row Level Security, with an understanding of server-side rendering and static site generation is an advantage.

• Excellent problem-solving, communication and collaboration skills.

Benefits

• Salary: $150k - $200k

• Flexible working arrangements, including remote work options.

• Comprehensive health, dental and vision insurance.

• Life and disability insurance coverage.

• 401(k) retirement plan with company matching.

Our client, an early-stage AI-driven healthcare company, is hiring a Deployment Strategist to join their team in New York. The successful candidate will own customer deployments from initial kick-off through go-live and beyond, while also working closely with customers, engineering and the founding team to translate complex healthcare workflows into scalable, AI-powered solutions.


Responsibilities

• Lead customer implementations end-to-end, from initial discovery and kickoff through UAT, go-live and post-launch support.

• Run discovery sessions to understand customer scheduling rules, clinic workflows, referral processes, provider configurations and operational requirements.

• Build project plans, manage timelines and coordinate cross-functional teams to deliver successful, on-time implementations.

• Configure the platform across assistant settings, scheduling workflows, telephony routing and organizational requirements.

• Serve as the primary customer point of contact, leading kickoff meetings, regular check-ins and stakeholder communications.

• Coordinate UAT, manage issue resolution and oversee production cutovers and launch-day activities.

• Own the customer relationship post-launch, including regular account reviews, QBRs, issue triage and account health monitoring.

• Identify opportunities for account growth and communicate relevant expansion signals to the sales team.

• Turn customer feedback and operational insights into clear, actionable product requirements.

• Work closely with engineering to improve implementation tooling, automation and self-service capabilities.

Skillset

• At least 3 years of experience in software implementation, technical onboarding, customer success or customer-facing project management within a B2B SaaS environment.

• Proven track record of managing complex implementations, coordinating stakeholders and delivering projects through to successful go-live.

• Strong technical aptitude with APIs, configuration platforms and technical documentation, with the ability to collaborate effectively with engineering teams.

• Excellent project management skills, with the ability to manage multiple workstreams, priorities and deadlines simultaneously.

• Experience serving as a primary customer contact and building strong relationships with both technical and non-technical stakeholders.

• Excellent communication and interpersonal skills, with confidence leading customer meetings, documenting requirements and managing expectations.

• Highly organized and detail-oriented, with the ability to keep multiple projects progressing without losing sight of key priorities.

• A strong sense of ownership and bias towards action, with a willingness to get hands-on and solve problems independently.

• Experience working with healthcare organizations, clinical operations or healthcare technology is highly desirable.

• Comfortable working in an early-stage, fast-paced environment where processes are continuously evolving and being improved.

Benefits

• Salary: $140k - $180k.

• Equity.

• Comprehensive healthcare coverage.

Our client, a venture-backed AI startup, is hiring a Founding Engineer to join the team in New York City. The successful candidate will work closely with the founding team to improve the core product and build the next-generation AI-powered software that enables field-based professionals to work more efficiently, increase productivity and spend less time on administrative tasks.


Responsibilities

• Design, build and ship full-stack products and features from 0-1.

• Engage directly with customers and end users to understand needs, gather feedback and identify opportunities for improvement.

• Translate customer feedback into impactful product enhancements.

• Support product deployments, implementations and user onboarding where required.

• Take ownership of the design, development and launch of new products and capabilities.

• Build scalable, high-performance systems that can support a growing customer base.

• Develop and integrate reliable AI capabilities into real-world products and workflows.

• Contribute across the technology stack and take ownership of the highest-priority technical and business challenges.

• Work closely with the founding team to shape engineering practices, technical architecture and product direction.

Skillset

• Minimum of 3 years of full-stack software engineering experience, ideally in an early-stage startup, or a proven track record of independently building and launching products used by real customers.

• Strong proficiency in Python and TypeScript/React.

• Strong understanding of AI technologies and hands-on experience with modern AI development tools.

• Proven experience developing, deploying and supporting production-grade software.

• Solid knowledge of scalable system design, data pipelines and application architecture.

• Excellent communication skills with the ability to work effectively with technical and non-technical stakeholders.

Benefits

• Salary: $150k - $250k.

• Equity.

• Healthcare and dental coverage.

• Gym membership.

Our client, an AI-driven startup transforming the healthcare sector, is hiring a Senior/Staff Product Manager to join the team in San Francisco. The successful candidate will define and lead the next generation of the company's AI developer platform, building on industry-leading integrations with Anthropic's Claude, Microsoft Copilot and Salesforce to connect unified health records with leading payers and digital health applications.

Responsibilities

• Define and drive the product vision and roadmap for evolving the company's MCP Server into a comprehensive AI SDK, expanding from data retrieval to clinically grounded insights and action-oriented capabilities.

• Own the product strategy for the company's clinical data knowledge graph, defining how AI agents understand and navigate relationships across FHIR resources, including conditions, medications, labs, encounters, care plans, goals and their temporal relationships.

• Shape an exceptional AI developer experience, designing SDKs, tools, skills, prompts, structured artifacts and composable MCP capabilities that enable developers to build powerful health AI applications.

• Define the insight-to-action journey, enabling AI agents to identify care gaps, follow-up needs, preventive opportunities and appropriate next steps for patients.

• Develop the product strategy for connecting AI-generated insights to real-world care delivery, including providers, laboratories, pharmacies, specialists, telehealth platforms and care navigation services.

• Ensure SDK capabilities are built on the company's identity, consent, authorization and data provenance infrastructure, ensuring patients remain in control of how their health data is accessed and used.

• Identify, evaluate and build strategic ecosystem partnerships that expand the SDK's ability to connect patients with relevant healthcare providers, services and solutions.

• Collaborate closely with Engineering, Design and Clinical teams to translate product strategy into clear requirements, technical specifications, and production-ready capabilities.

• Own launch readiness, adoption and product success metrics, using developer and customer feedback to continuously improve the platform and accelerate adoption.

Skillset

• At least 7 years of technical product management experience, including a minimum of 3 years working across healthcare data, AI/ML platforms, developer infrastructure or related technologies.

• Deep expertise in the FHIR data model and the relationships between clinical resources, ideally with experience developing products using EHR data at scale.

• Strong understanding of the AI developer ecosystem, including MCP servers, agent frameworks, prompt engineering, tool and skill registries, structured outputs and emerging AI development platforms.

• Proven experience building and managing developer-facing products, including SDKs, APIs, platforms or technical infrastructure.

• Demonstrated ability to operate at Staff or Principal level, owning product strategy from initial vision through execution, launch and ongoing optimization.

• Strong ability to translate complex clinical data into actionable insights, recommendations and next-best actions.

• Understanding of identity, consent, authorization, auditability and data provenance, particularly within healthcare or other highly regulated environments.

• Proven experience developing and managing strategic technology and ecosystem partnerships, ideally within healthcare or digital health.

• Excellent technical communication and stakeholder management skills, with the ability to collaborate closely with engineering teams and translate complex technical concepts into clear product requirements.

• A strong builder's mindset, with the ability to thrive in an early-stage environment, navigate ambiguity, make decisive product decisions, and move quickly from concept to production.

Benefits

• Salary: $200k - $250k.

• Equity.

• Comprehensive medical, dental and vision insurance.

• 401(k) and wellness benefits.

• Remote working options.

Our client, a venture-backed AI Startup, is hiring a talented ML/AI Research Engineer to join their team in San Francisco. The successful candidate will lead the design, training, evaluation and optimization of agent-native AI systems, working at the cutting edge of LLMs, vector search, graph reasoning and reinforcement learning to build the intelligence layer on top of their enterprise data fabric.


Responsibilities

• Fine-tune and evaluate open-source LLMs (e.g. LLaMA 3, Mistral, Falcon, Mixtral) for enterprise-grade applications.

• Build and optimize RAG pipelines using tools such as LangChain, LangGraph, LlamaIndex or Dust.

• Develop and iterate on agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using real-world enterprise workflows.

• Design embedding-based memory systems with efficient, high-performance retrieval strategies.

• Implement reinforcement learning pipelines (RLHF, DPO, PPO) to improve agent behavior and decision-making.

• Create scalable evaluation frameworks, including synthetic evaluations, trace capture and explainability tooling.

• Own model observability, drift detection and alignment strategies across production systems.

• Optimize inference latency and GPU utilization across cloud and on-premise infrastructure.

Skillset

• Strong experience fine-tuning open-source LLMs using frameworks such as HuggingFace, DeepSpeed, vLLM, FSDP and LoRA/QLoRA.

• Hands-on experience with modern alignment techniques, including SFT, RLHF and DPO pipelines.

• Proven ability to build high-quality training datasets and robust evaluation frameworks for LLM systems.

• Deep understanding of scaling and optimization trade-offs, including batching, context windows, precision and quantization.

• Experience building and deploying production-grade RAG systems.

• Familiarity with orchestration and retrieval tools such as LangChain, LangGraph and LlamaIndex, and vector databases (Weaviate, Qdrant, FAISS).

• Experience working across structured (SQL, graph) and unstructured data sources.

• Experience designing agent-based systems with memory, tool use, and multi-step reasoning.

• Strong understanding of agent workflows (e.g. Plan-Act-Reflect), including self-correction and multi-agent systems.

• Expertise in inference and retrieval optimization, including chunking strategies, reranking, and low-latency deployment (e.g. vLLM, TGI).

Benefits

• Salary: $180k - $240k

• Equity.

Our client, an early-stage AI startup, is hiring a Founding Engineer to join the team in New York. The successful candidate will play a key role in shaping both the product vision and technical direction of the business, building cutting-edge AI systems that accelerate scientific discovery through intelligent automation, multimodal machine learning and advanced data platforms.


Responsibilities

• Design, develop and deploy enterprise-grade AI solutions that empower scientific teams.

• Build advanced multimodal AI systems, including computer vision models, speech-to-text capabilities and intelligent AI agents.

• Develop scalable machine learning pipelines and data infrastructure to support scientific applications.

• Create AI models that analyze experimental data, uncover insights, predict outcomes and optimize processes.

• Convert complex laboratory data into structured, high-quality datasets for machine learning development.

• Work closely with research partners and customers to gather feedback, validate solutions and continuously improve products.

• Shape the company's technical architecture, engineering practices and long-term AI roadmap.

• Partner with founders and scientific leaders to drive product development and technical decision-making.

• Deliver robust, production-ready software with a focus on speed, quality and scalability.

Skillset

• Proven experience designing, building and deploying production software within a startup, research environment or leading technology organization.

• Strong machine learning expertise with deep knowledge in at least two of the following areas: Geometric Deep Learning, Graph Neural Networks (GNNs), Diffusion Models, Generative AI or ML Interatomic Potentials.

• Experience developing and delivering AI-powered products that solve real-world customer challenges.

• Strong software engineering capabilities across backend development, machine learning infrastructure and cloud-based environments.

• Hands-on experience building scalable data pipelines, ML workflows and production AI systems.

• Ability to take ownership across the entire product lifecycle, from initial concept and experimentation through to deployment and optimization.

• Comfortable working in a fast-paced startup environment with a high level of autonomy, ownership and accountability.

• Strong analytical, problem-solving and communication skills with the ability to collaborate across technical and scientific teams.

Benefits

• Salary: $150k - $220k DOE.

Our client, an innovative AI software company, is hiring an AI Engineer to join the team in New York. The successful candidate will work across customer delivery and platform engineering, developing AI agents that solve complex business challenges while enhancing the company's core AI platform.


Responsibilities

• Partner with private equity firms and their portfolio companies to understand operational challenges and design AI-powered solutions that deliver measurable business value.

• Design, build, deploy and optimize AI agents using real-world enterprise and operational data.

• Convert complex business processes into scalable AI solutions, including workflow automation, entity resolution and intelligent agent systems.

• Rapidly develop proof-of-concepts, prototypes, and production-ready AI applications using modern AI technologies.

• Serve as a trusted technical partner, leading customer workshops, solution demonstrations, and technical discovery sessions.

• Contribute to the ongoing development and enhancement of the company's core AI platform alongside customer implementations.

• Collaborate with Product and Engineering teams to translate customer insights into new platform capabilities and product improvements.

• Own projects throughout the full software development lifecycle, from requirements gathering and solution design to deployment and ongoing support.

• Build integrations between AI applications, enterprise systems, APIs and diverse data sources.

• Continuously improve the scalability, performance, reliability and user experience of AI solutions and platform capabilities.

Skillset

• Minimum of 5 years of professional software engineering experience delivering production-ready applications.

• Strong programming experience with Python and/or TypeScript.

• Proven experience developing AI-powered solutions using large language models (LLMs).

• Hands-on knowledge of retrieval-augmented generation (RAG), AI agents, evaluation frameworks, prompt engineering and modern AI tooling.

• Solid understanding of SQL, ETL processes, data integration, and working with complex enterprise datasets.

• Experience building and maintaining full-stack applications across backend services, APIs and frontend technologies.

• Ability to work directly with customers and stakeholders to understand requirements and deliver effective technical solutions.

• Strong problem-solving skills with the ability to translate complex business challenges into scalable software applications.

• Previous experience in a startup, scale-up, or other fast-paced, high-growth environment is an advantage.

• Excellent communication, collaboration and stakeholder management skills.

Benefits

• Salary: $200k - $250k DOE.

• Equity.

Our client, an early-stage HealthTech startup, is hiring a Senior or Mid-Level Integrations Engineer to join their team remotely. The successful candidate will join a small, high-performing engineering team, taking ownership of features from concept through to deployment, as well as collaborate closely with customers and build production-ready AI applications that address real-world clinical and operational challenges.


Responsibilities

• Develop and deliver AI-powered product features using modern web technologies.

• Build intelligent applications and AI assistants powered by large language models (LLMs).

• Create scalable full-stack solutions using TypeScript, React and SQL.

• Partner with clinicians and healthcare professionals to understand user needs and translate them into impactful solutions.

• Take ownership of features throughout the full software development lifecycle, from design and implementation to deployment.

• Continuously enhance application performance, reliability and user experience.

• Contribute to engineering architecture, development standards and tooling improvements.

• Help promote a collaborative engineering culture within a fast-growing startup.

• Work closely with product and leadership teams to deliver high-quality solutions at pace.

• Build secure, scalable and reliable software supporting critical healthcare operations.

Skillset

• At least 2 years of professional software engineering experience.

• Strong proficiency with TypeScript and React.

• Solid knowledge of SQL, relational databases and data modelling principles.

• Experience developing AI-powered applications using large language models (LLMs).

• Understanding of prompt engineering, retrieval-augmented generation (RAG) and AI integrations.

• Good knowledge of cloud platforms, distributed systems and modern application architecture.

• Experience delivering production-ready software in fast-paced environments.

• Strong analytical and problem-solving skills with the ability to work effectively in ambiguous situations.

• Excellent communication and collaboration skills with a team-first mindset.

Benefits

• Salary: $150k - $180k.

• Equity.

• Flexible remote working.