AI Engineer Jobs

Our client, an AI-driven startup in the pharmaceuticals industry, is hiring a Software Engineer to join their team in New York. The successful candidate will help build the next generation of AI-powered clinical review tools, by contributing to the design, development, testing and deployment of features used by pharmaceutical customers in live clinical trials.


Responsibilities

• Develop and deliver new platform features using Python and TypeScript.

• Enhance system reliability, scalability, performance and automated test coverage.

• Support the development of data pipelines used to ingest, standardize and process clinical trial data.

• Assist in integrating and evaluating LLM-powered workflows within a hybrid AI and heuristics-based architecture.

• Partner closely with customers to understand how medical reviewers and data managers interact with the platform.

• Collaborate with the CTO and founding team on architecture decisions and engineering best practices.

• Take ownership of clearly defined projects from implementation through to deployment.

Skillset

• At least 4 years of experience building and deploying production-grade software.

• Strong backend engineering skills in Python or a similar programming language.

• Ability to work across the full stack, including frontend development with React and TypeScript.

• Solid understanding of relational databases, SQL and data modelling concepts.

• Strong attention to clean, maintainable code, testing and software quality best practices.

• Experience working with AWS or other major cloud infrastructure platforms.

• Familiarity with AI tools, LLM-based applications or intelligent workflow systems.

• Experience building or supporting ETL pipelines, large-scale data systems, or validation frameworks.

• Previous experience working in fast-paced startup or early-stage environments is a plus.

• Exposure to healthcare, life sciences, biotech or clinical trial technology environments is an advantage.

Benefits

• Salary: $150k - $170k.

• Equity.

• Health, vision and dental insurance.

Our client, a growing fintech company, is hiring a Forward Deployed Engineer to join their team in New York City. The successful candidate will collaborate with finance, credit risk, servicing, collections and operations teams to automate manual processes using AI, while partnering with Product and Engineering to build AI solutions for merchants and partners.


Responsibilities

• Collaborate with business teams to understand their processes, identify improvements and define measurable outcomes.

• Lead projects from initial discovery and technical design through development, deployment and adoption.

• Develop reliable automations, data pipelines and AI agents that address business needs.

• Build evaluations to verify outputs before deployment and maintain accuracy as models, data and workflows evolve.

• Set up monitoring, exception handling and alerts with clear responsibilities and escalation procedures.

• Establish human review requirements, access controls, activity logging and boundaries for automated decisions.

• Work with Product and Engineering to develop customer-facing AI solutions that meet review and deployment standards.

• Develop reusable components, evaluation frameworks and deployment approaches to improve future delivery.

• Assess business results and present findings to senior leadership, including time savings, review and maintenance effort, and control effectiveness.

• Work closely with engineers in New York and India, using insights from deployments to shape the platform roadmap.

Skillset

• At least 3 years of experience in software engineering or technical deployment, including working directly with business users.

• Strong Python and SQL skills, with experience developing and maintaining production systems.

• Hands-on experience deploying LLM applications, including prompt engineering, AI agents and evaluation.

• Experience working with governed data in platforms, such as Databricks or ClickHouse.

• Ability to build reliable data pipelines, validate outputs and troubleshoot data quality issues.

• Strong discovery skills, with the ability to turn business workflows into clear technical requirements.

• Clear communication skills and confidence explaining technical decisions to nontechnical stakeholders.

• Ability to own delivery, navigate unclear requirements and identify valuable opportunities for automation.

• Experience in fintech, lending, payments, banking or another regulated environment is an advantage.

Benefits

• Salary: $145k - $195k.

• Equity.

Our client, an AI-driven healthcare organization, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will build and scale the infrastructure powering a real-time clinical monitoring platform, developing services that process high volumes of neurological data, support clinical workflows and deploy machine learning models into production.



Responsibilities

• Build and maintain Python and Go services to process and deliver real-time neurological data.

• Develop and optimise data models, ingestion pipelines and retention policies for high-frequency time-series data.

• Create and enhance APIs that underpin clinical workflows.

• Work alongside ML engineers to bring research models into production and ensure inference services run reliably.

• Strengthen platform performance and reliability through monitoring, alerting, capacity planning and incident reviews.

• Build software that meets regulated medical device standards, covering cybersecurity, traceability and change control.

• Own technical delivery from defining requirements through development, deployment and ongoing support.

Skillset

• At least 5 years' experience building and operating backend systems in production.

• Strong Python development skills, including testing and concurrency using threads, processes and asyncio.

• Hands-on experience with event-driven or stream-processing systems, including partitioning, checkpointing, backpressure and at-least-once delivery.

• Experience with containerisation and orchestration, preferably Kubernetes.

• Strong relational database skills, including schema design and query optimisation.

• A proactive, resourceful approach, with the ability to turn ambiguous requirements into reliable, monitored services.

• Clear communication skills, including the ability to explain technical decisions verbally and in writing.

• Experience with Go for networked or low-latency services and Azure services such as Event Hubs, Service Bus, Web PubSub, Blob Storage or AKS is a plus.

• Knowledge of large-scale data engineering, columnar formats such as Apache Arrow or Parquet, video processing or sub-second latency systems would be beneficial.

• Experience serving PyTorch models or developing healthcare technology and other regulated software would be an advantage.

Benefits

• Salary: $250k - $300k

• Equity.

• Comprehensive medical, dental and vision coverage.

Our client, a growing Healthtech organization, is hiring a Founding Principal Engineer to join their team in New York City. The successful candidate will lead the company's next phase of technical development, from shaping the technical strategy, building critical platform capabilities and guiding a distributed engineering team.


Responsibilities

• Shape the technical roadmap and architecture for telehealth services, electronic health records, clinician onboarding and patient-facing applications.

• Develop production software and tackle the platform's most demanding technical challenges.

• Assess whether to build solutions internally, purchase existing products or engage external partners.

• Lead and mentor offshore engineers, setting clear priorities and ensuring consistent delivery.

• Introduce engineering standards for code reviews, testing, deployments, on-call support and incident management.

• Ensure platform reliability and data security, with engineering practices that support HIPAA compliance and payer requirements.

• Drive practical AI adoption across clinical, operational and engineering processes.

• Develop and refine the technology stack, currently using TypeScript, Node.js, React and AWS.

• Collaborate with clinical, growth and operations teams to turn business requirements into clear technical delivery plans.

• Hire and onboard US-based engineers, shaping the team's structure, working practices and culture as the company grows.

Skillset

• At least 8 years' experience developing production software, including time in a Staff or Principal Engineer role.

• Strong full-stack engineering skills, covering database design, backend services and user interfaces.

• Proven ability to define architecture and deliver complex systems from initial design through to production.

• Experience leading engineering teams while remaining hands-on with development.

• A track record of raising engineering standards, mentoring developers and improving software quality.

• Experience working effectively with distributed or offshore engineering teams.

• Experience building software in regulated environments or systems with demanding reliability and data protection requirements.

• Sound technical judgement around security, reliability and data integrity, with healthcare experience an advantage.

• Ability to navigate ambiguity, manage competing priorities and deliver within a growing organisation.

• Strong communication skills, with confidence engaging senior leaders and explaining technical decisions to non-technical stakeholders.

Benefits

• Salary: $200k - $240k.

• Equity.

Our client, a venture-backed AI startup, is hiring a Forward Deployed Engineer to join their team in New York or San Francisco. The successful candidate will partner with customers to understand their operational needs, develop tailored technical solutions and use their feedback to guide platform improvements.


Responsibilities

• Engage with customers remotely and on-site to understand their workflows, operational challenges and technical needs.

• Build and deploy software that helps users overcome investigative and evidence management challenges.

• Develop tailored integrations, analyses and tools to meet specific customer requirements.

• Translate user problems into practical, working software solutions.

• Convert customer feedback into code improvements, product recommendations and actionable development requirements.

• Partner with engineering colleagues to inform product priorities and improve platform capabilities.

• Own technical delivery from initial discovery through implementation and ongoing refinement.

• Travel to customer sites as required, accounting for approximately 25-75% of the role.

Skillset

• Strong software development skills, with the ability to solve complex problems through practical engineering.

• Experience engaging directly with customers to understand their needs and address technical challenges.

• An adaptable approach to building tailored tools, one-off analyses and customer integrations.

• Sound product judgement and the ability to turn user feedback into meaningful software improvements.

• Clear communication skills, with confidence explaining technical concepts to non-technical audiences.

• The ability to own projects, make informed decisions and deliver in a fast-paced startup.

• Confidence working through unclear requirements and unfamiliar technical challenges.

• A curious, hands-on mindset, with a willingness to experiment and develop new solutions.

Benefits

• Salary: $130k - $215k

• Equity.

• Comprehensive benefits backage.

Our client, a venture-backed AI startup, is hiring a Member of Technical Staff - Backend & AI to join their team in New York. The successful candidate will develop secure, reliable backend systems and AI capabilities that help law enforcement and legal professionals search, interpret and act on complex evidence.


Responsibilities

• Build and maintain secure, reliable backend services and distributed systems.

• Integrate and deploy large language models, vision-language models and other machine learning technologies into production.

• Develop RAG pipelines to process, retrieve and search unstructured evidence.

• Build tools for querying, modelling and reasoning across structured data.

• Create agentic workflows that reason, plan and act across multiple data sources.

• Assess emerging AI models, infrastructure and engineering methods to improve platform capabilities.

• Take ownership of technical projects from initial investigation through development, deployment and ongoing support.

• Resolve production issues and respond to urgent technical and operational requirements.

Skillset

• Strong backend development experience, including designing and building secure, resilient distributed systems.

• Proficiency in Python and the ability to work across different programming languages and infrastructure platforms.

• Hands-on experience deploying LLMs, VLMs or other machine learning models into production.

• Experience developing RAG pipelines or similar solutions for processing and retrieving unstructured data.

• Experience working with structured data, including query planning, semantic modelling or structured reasoning.

• A keen interest in agentic AI and emerging techniques for applying AI to real-world problems.

• Ability to own projects, make sound technical decisions and deliver in a fast-paced startup.

• Confidence navigating unclear requirements and solving unfamiliar technical problems.

• A practical, hands-on approach to troubleshooting and maintaining production systems.

Benefits

• Salary: $135k - $215k

• Equity.

• Comprehensive benefits backage.

Our client, a growing AI organization, is hiring an AI Engineer to join the team in New York. The successful candidate will take ownership of the tooling, AI agent infrastructure and measurement systems that enable engineering and implementation teams to deliver improvements safely, from proposing and simulating changes through to approval, deployment and evaluating results.


Responsibilities

• Build internal dashboards that provide visibility into engineering delivery, platform reliability, agent activity and customer results.

• Connect data from GitHub, Linear, Sentry and Grafana to uncover delivery bottlenecks, track quality and inform improvements.

• Develop secure, sandboxed agents that carry out defined engineering tasks, execute tests and produce verifiable results within controlled permissions.

• Create evaluation frameworks to validate agent-generated changes, control costs and improve automated delivery.

• Equip implementation teams with tools to safely adjust customer settings, scheduling rules and operational playbooks.

• Develop workflows for simulation, approval, verification and rollback, ensuring changes are tested, traceable and reversible.

• Establish consistent, version-controlled metrics to measure engineering performance, operational efficiency and customer outcomes.

• Build experimentation tools to test hypotheses, manage controlled rollouts, track exposure and assess results.

• Identify recurring customer challenges and implementation fixes that could inform new features or product enhancements.

• Collaborate with customers, implementation specialists and engineers to prioritize development and communicate the purpose, impact and results of changes.

Skillset

• Strong TypeScript backend development skills, with experience building and supporting production services.

• Hands-on experience delivering AI agents in production, covering tool design, evaluation, sandboxing, permissions and cost control.

• Experience improving developer productivity through engineering metrics, internal tools or delivery processes.

• A solid understanding of production reliability, access controls, audit trails and safe, reversible operational changes.

• Experience with experimentation, feature flags and controlled rollouts, including measuring the impact of changes.

• Strong product judgement, with the ability to turn customer needs and operational challenges into practical software.

• Experience developing platform tooling or integrations with systems such as GitHub, Linear, Sentry or Grafana.

• The ability to own projects from problem definition through development, deployment and ongoing improvement.

• Clear communication skills, with confidence collaborating directly with customers, engineers and business stakeholders.

• Customer implementation, solutions engineering or forward-deployed experience, ideally within field services, logistics or operational software.

Benefits

• Salary: $140k - $180k.

Our client, a fast-growing Healthtech startup, is hiring a hands-on VP of Engineering to join their team in New York. The successful candidate will lead the development of a platform supporting independent primary care practices, responsible for building data-intensive products, transforming manual processes into scalable software and managing a growing engineering and data team.


Responsibilities

• Set the technical direction and architecture for backend services, data pipelines and customer-facing products.

• Build systems that collect, transform and deliver complex healthcare and practice management data.

• Create dashboards, workflows and operational tools that help clinic staff access and act on information.

• Connect electronic health records and practice management platforms to ensure reliable data flows.

• Work with product and operations teams to turn manual tasks into automated workflows and self-service capabilities.

• Define engineering practices that improve delivery, maintainability and scalability.

• Oversee hiring, onboarding and professional development across the engineering and data team.

• Guide technical decisions through architecture reviews, code reviews and practical mentorship.

• Maintain production quality and reliability through testing, monitoring, issue resolution and controlled releases.

Skillset

• At least 8 years' experience developing production web applications, with responsibility for major systems or products.

• Strong backend and data engineering skills, alongside the ability to work across the full stack.

• Proficiency in Python and JavaScript, with experience designing and building RESTful APIs.

• A track record of creating data-intensive applications that help non-technical users understand and use complex information.

• Expertise in data modelling, query optimisation and processing data within applications.

• Familiarity with cloud data warehouses and modern data tools.

• Experience leading frontend and backend engineers, including recruiting, mentoring and expanding teams.

• A product-led mindset, with sound technical judgement and the ability to balance delivery priorities with future requirements.

• Experience working with healthcare, billing or claims data would be beneficial.

• Knowledge of workflow automation, rule-based systems or turning managed services into self-service software would also be an advantage.

Benefits

• Salary: $250k - $325k.

• Equity.

Our client, a fast-growing startup in the crypto trading sector, is hiring a Staff Front End Engineer to join the team in New York. The successful candidate will lead development across the company's mobile and web applications, owning frontend projects from technical planning through to production and delivering new features that expand the platform.


Responsibilities

• Drive development of the company's mobile application and React-based web platform.

• Create intuitive user interfaces for trading and social discovery.

• Deliver new trading experiences across order types and asset classes, including perpetuals and prediction markets.

• Build social features that enable users to discover traders and track market activity.

• Guide technical decisions to keep frontend applications maintainable and easy to extend.

• Take ownership of complex projects from technical planning through production deployment.

• Work closely with fellow engineers, contributing to TypeScript backend services where needed.

• Incorporate AI coding tools and agentic workflows into the development process.

Skillset

• At least 6 years' experience in software engineering, demonstrating technical leadership and ownership at Staff level or above.

• Strong expertise in React and modern frontend technologies.

• Ability to independently plan complex technical projects and deliver reliable production applications.

• Comfortable developing across mobile and web platforms within a small engineering team.

• Experience developing crypto products, especially within Solana or EVM ecosystems, is a plus.

• Full-stack experience, including backend development with TypeScript, is a bonus.

• Experience using AI coding tools and agentic workflows is desirable.

• Personal experience trading crypto would also be a plus.

Benefits

• Salary: $250k - $300k.

• Equity.

• Medical, dental and vision insurance.

• 401(k) with employer match.

• Life insurance.

Our client, a fast-growing startup in the crypto trading sector, is hiring a Staff Backend/Distributed Systems Engineer to join the team in New York. The successful candidate will join a small engineering team, taking ownership of complex technical projects from initial design through to production deployment.


Responsibilities

• Build and maintain backend services using TypeScript and Go, with some development in Rust.

• Deliver reliable, high-performance infrastructure for trade execution.

• Develop pipelines for on-chain data ingestion and accurate portfolio tracking.

• Build backend capabilities for social features, trader discovery and personalized content recommendations.

• Enhance analytics pipelines to inform product development and business decisions.

• Scale and optimize systems to support growing user activity and trading volumes.

• Take ownership of technical challenges, from defining implementation plans to delivering production solutions.

• Work across backend and frontend systems, contributing to React applications where needed.

Skillset

• Minimum of 6 years' software engineering experience, demonstrating the technical judgement and ownership expected at Staff level or above.

• Strong backend development skills, with experience designing and delivering production services.

• Proven ability to independently lead complex technical projects from planning through deployment.

• Comfortable working across multiple systems and changing business priorities within a small engineering team.

• Experience developing crypto products, particularly within Solana or EVM ecosystems, is an advantage.

• React or full-stack development experience, alongside personal crypto trading experience is a plus.

Benefits

• Salary: $250k - $300k.

• Equity.

• Medical, dental and vision insurance.

• 401(k) with employer match.

• Life insurance.

Our client, an early-stage AI Startup, is hiring a Lead Product Engineer to join their team in New York. The successful candidate will develop production systems across conversational AI, real-time voice, intelligent retrieval and technician-facing applications, as well as own solutions from understanding operational challenges through to deployment and continuous improvement.


Responsibilities

• Build platform functionality for customer calls, diagnostics, work order management and technician dispatch.

• Develop real-time conversational agents supporting speech-to-speech interactions with technicians over voice and video.

• Deploy AI agents that engage in customer conversations across multiple channels and respond with relevant actions.

• Create and maintain production APIs and backend services supporting the field service platform.

• Build diagnostic retrieval systems using graph databases, vector search and Model Context Protocol (MCP).

• Develop dashboards and internal tools that help customers and colleagues monitor platform activity.

• Create technician-facing interfaces that provide clear, accessible diagnostic guidance in the field.

• Collaborate directly with customers and the founding team to identify challenges, ship solutions and improve features through practical feedback.

Skillset

• A track record of delivering LLMs or AI agents into production environments.

• Strong coding skills in TypeScript and Python.

• The ability to turn operational requirements into dependable, production-ready software.

• An independent approach, with confidence owning development from initial concept through to release.

• A proactive mindset and the flexibility to deliver quickly as priorities change.

• A focus on customer outcomes and improving day-to-day operations for technicians and service teams.

Benefits

• Salary: $180k - $210k.

Our client, an early-stage AI Software company, is hiring a Senior AI /Machine Learning Platform Engineer to join their team in New York City. The successful candidate will develop the models and infrastructure powering diagnostics and customer experience, building shared AI capabilities across voice, chat and other agent workflows while taking ownership from data processing and model development through to deployment and continuous improvement.


Responsibilities

• Develop and operate machine learning infrastructure supporting search, retrieval, indexing, training, evaluation, inference and model deployment.

• Build and refine models for diagnostics, fault prediction, parts selection, ranking, information extraction and customer-support automation.

• Develop shared capabilities for voice and chat agents, covering context, memory, knowledge retrieval, tools, policies and continuity across channels.

• Create data and feedback pipelines drawing on service histories, technical documentation, equipment data, conversations, images and repair results.

• Maintain reliable distributed services, data pipelines, search systems and live inference through performance monitoring, capacity planning and failure recovery.

• Design evaluation frameworks that link model accuracy and retrieval quality to customer experience and repair outcomes.

• Turn conversation data, agent activity and human feedback into ongoing improvements to models and agent performance.

• Strengthen engineering workflows through automated testing, CI/CD, observability, reusable infrastructure and controls for AI-generated code.

• Collaborate with product engineers and domain experts to bring fast, explainable and dependable AI features into production.

• Make practical architecture decisions around internal development, third-party solutions, compute, storage, model providers and open-source tools.

Skillset

• At least 5 years' professional experience in software or machine learning engineering, including delivery of production systems.

• Strong coding skills in Python and TypeScript, with confidence working across models, backend systems, data platforms and cloud infrastructure.

• Sound knowledge of modern search and ML systems, including retrieval, indexing, evaluation, deployment and the challenges of models running in production.

• A strong understanding of distributed systems, performance tuning, reliability, observability and infrastructure costs.

• Experience applying AI development tools to increase productivity while maintaining engineering standards.

• The flexibility to move between research, infrastructure and product development as priorities evolve.

• An interest in creating reusable AI capabilities across diagnostics, customer support and multiple communication channels.

• A proactive approach, strong ownership and a focus on delivering measurable value to customers.

• Experience with ranking, recommendation engines, vector or graph search, multimodal models or real-time inference is desirable.

• Familiarity with ML platforms, evaluation frameworks, developer tools, GPUs, inference optimization, infrastructure as code or incident response would be an advantage.

Benefits

• Salary: $210k.

• Equity.