AI Engineer Jobs

Our client, an early-stage Facilities Management startup, is hiring a hands-on Head of Engineering to join their team in New York. The successful candidate will help define technical strategy and direction, while building the right systems and team to support the company as it scales.


Responsibilities

• Architect and own core, foundational AI and machine learning systems.

• Act as a strategic technical leader, shaping how AI is leveraged across the product and organization.

• Partner closely with founders and engineering leadership on long-term technical direction and key architectural decisions.

• Remain hands-on where necessary, particularly in the early stages, without operating permanently in an individual contributor role.

• Help define engineering standards, best practices and what “good” looks like as the company scales.

Skillset

• Early-stage startup experience is essential, such as a founding engineer, first AI hire or similar.

• Proven ability to wear many hats, combined with experience at a company that successfully scaled.

• Strong technical depth with clear fundamentals across AI and machine learning.

• Comfortable operating in ambiguous environments and building systems from zero.

Benefits

• Salary: $200k - $300k DOE.

Our client, an AI-driven organization, is hiring experienced Senior Software Engineers to join their team in New York. The successful candidate will design and build large-scale systems that enable AI to run quickly, securely and reliably in production, contributing to a transformative platform that reimagines how organizations build internal software and helps define the future of SaaS.


Responsibilities

• Design and build large-scale untrusted code execution environments with secure sandboxing.

• Develop and operate massively parallel AI agent runtimes and scheduling systems.

• Architect and maintain multi-cloud and customer VPC deployment models.

• Build highly reliable distributed systems with strict security and data integrity guarantees.

• Implement deep observability across AI workflows and underlying infrastructure.

• Create and evolve enterprise-grade integration and metadata platforms.

Skillset

• Strong foundation in distributed systems, scalability, multi-cloud architecture and security.

• Practical experience with operating systems, containers, Kubernetes, cloud networking and event-driven runtimes such as Knative or KEDA.

• A passion for creating simple, elegant solutions to complex systems challenges.

• Demonstrated experience designing, building and operating large-scale infrastructure.

• A strong zero-to-one mindset with the ability to thrive in ambiguous problem spaces.

Benefits

• Salary: $220k - $250k DOE.

• Equity.

Our client, a growing healthcare organization, is hiring a Product Manager to join their team in New York. The successful candidate will be responsible for shaping and delivering products that improve patient outcome, including taking full ownership of the product roadmap across the company’s core software platform and agentic workflows.


Responsibilities

• Own and deliver the product roadmap across the organization’s core platform and agentic workflows.

• Use structured prioritization frameworks to align business goals with client and patient needs.

• Drive the scaling of agentic systems to support increasing patient volumes and more complex interactions.

• Establish quality metrics, design experiments and continuously improve system performance.

• Lead market research and user discovery to identify unmet customer and patient needs.

• Prototype, test and validate new features quickly using an MVP-first approach.

• Act as the central liaison between technical teams (Engineering, Machine Learning) and business teams (Operations, Sales, Marketing).

• Translate product requirements into clear deliverables and ensure high-quality execution from ideation through launch.

Skillset

• At least 4 years of experience in product management roles.

• Minimum of 2 years delivering AI-native or agentic products into production.

• High-impact professional backgrounds in Investment Banking, Private Equity or Management Consulting will be considered.

• Demonstrated success scaling AI or data-driven products across growing user bases, data volumes and interaction complexity.

• Strong understanding of agentic system architectures and underlying technical principles.

• Proven ability to partner closely with engineering teams to build and scale complex data products.

• Strong analytical capabilities, including defining KPIs and using data to inform product decisions.

• Excellent communication skills, with ability to clearly explain complex technical concepts to non-technical stakeholders.

• Experience building and scaling products from 0 to 1 in fast-paced environments.

Benefits

• Salary: $160k - $185k

• Equity.

• Comprehensive health and dental benefits.

Our client, an AI-driven organization, is hiring a Senior Full Stack Engineer to join their team in New York. The successful candidate will leverage emerging AI technologies to develop production-ready software and deliver outstanding user experiences.


Responsibilities

• Design, develop and maintain both the frontend and backend of the company’s AI platform, ensuring robust and scalable solutions.

• Collaborate cross-functionally with design, sales, marketing and customers to create intuitive and seamless user experiences.

• Optimize performance for speed, scalability and reliability across all applications.

• Craft clean, maintainable code and interfaces in a complex, integration-heavy environment.

• Diagnose and resolve issues efficiently while upholding high standards of code quality.

• Stay at the forefront of emerging technologies to continuously enhance our platform.

Skillset

• Extensive Full Stack experience with a strong portfolio of web applications.

• Expertise in ReactJS, TypeScript and server-side development.

• Hands-on experience with RESTful APIs, asynchronous programming and Git.

• Experience working with generative AI APIs, embeddings, streaming outputs and tool calling.

• Familiarity with CI/CD pipelines, container orchestration and cloud infrastructure.

• Knowledge of server-side rendering, static site generation, and testing frameworks such as Jest and Cypress is a plus.

• Proficient in SQL/PostgreSQL, including Row Level Security.

• Excellent communication and problem-solving skills.

Benefits

• Salary: Circa. $200k DOE.

• Health, dental, vision, life and disability insurance.

• 401(k) with match.

• Remote working options.

Our client, a fast-growing AI startup, is hiring an AI/ML Engineer to join their team in New York. The successful candidate will focus on building the core Copilot product, with ownership across the full ML lifecycle - from data pipelines and model training to embeddings, retrieval, serving and continuous iteration in production.


Responsibilities

• Design, develop and deploy production-grade Machine Learning systems in Python, moving well beyond experimentation and notebooks.

• Take ownership of key components of the NLP and LLM stack, including embeddings, retrieval pipelines, RAG architectures and targeted fine-tuning.

• Build and iterate on recommendation and ranking models that surface who users should engage with and when.

• Work hands-on with vector databases and similarity search to drive relationship intelligence.

• Implement and maintain ML tooling for training, versioning, monitoring and evaluation.

• Collaborate closely with founders, product and engineering to translate ideas into shipped, measurable product capabilities.

• Integrate ML models into production APIs within a TypeScript / Nest.js–heavy environment.

• Continuously optimise latency, cost and performance, including model routing, caching, distillation and quantisation.

Skillset

• Minimum of 3 years of experience building and deploying production ML systems using Python, PyTorch or TensorFlow and scikit-learn.

• Hands-on NLP and LLM experience, including HuggingFace Transformers, embeddings, sentence-transformers and RAG architectures.

• Experience working with both proprietary models (e.g. OpenAI) and open-source LLMs (e.g. Llama, Mistral).

• Strong foundation in classical machine learning, including classification, ranking, supervised and unsupervised learning, and XGBoost or LightGBM.

• Experience with MLOps and infrastructure, such as experiment tracking, model versioning, Docker/Kubernetes, SageMaker or similar systems.

• Practical experience with vector databases, including Pinecone, Qdrant, Weaviate or comparable platforms.

• Strong software engineering fundamentals, with experience integrating ML models into reliable, production-grade systems.

Benefits

• Salary: Circa $250k.

• Equity.

• Health, dental and vision insurance.

• Lead the technical architecture across all core platforms.
• Set and uphold engineering standards for code quality, testing, observability and incident response.
• Design and scale real-time clinical oversight systems, including live conversations, escalations and audit trails.
• Build natural language query capabilities over complex healthcare data.
• Develop safe, intuitive no-code tools for configuring agent behavior.
• Architect APIs, data models, and caching for real-time, voice and multi-channel systems at scale.
• Own authentication, authorization and audit logging for healthcare-grade security and compliance.
• Drive build-vs-buy decisions and evaluate platform-wide technical trade-offs.
• Mentor engineers and raise the technical bar across the team.
• Collaborate with clinicians, engineers and customers to turn complex workflows into robust systems.

• At least 7 years of hands-on full-stack engineering experience, including work in high-performing or top-tier engineering environments.
• Deep expertise in React and TypeScript, with a strong grasp of performance, rendering and state management.
• Proven experience building Python backend services, RESTful APIs and distributed systems.
• A strong track record of designing, scaling and operating high-traffic production systems.
• Solid understanding of real-time architectures, including WebSockets, streaming and event-driven systems.
• Experience with relational databases, data modeling, query optimisation and caching strategies.
• Demonstrated ability to set engineering standards and mentor engineers across a team.
• Extremely high bar for code quality, reliability, and operational excellence.
• Strong product intuition, with the ability to turn ambiguous requirements into robust technical solutions.
• Clear, confident communicator across engineering, product and executive stakeholders.

• Salary: $220k - $260k
• Health, dental and vision insurance.
• Mental Health and Wellness support.

Our client, an AI-driven organization within the Healthcare industry, is hiring a Staff Data Software Engineer to join their team in New York. The successful candidate will design, build and scale the data infrastructure that underpins agent improvement, clinical analytics and research collaboration. You will own streaming and batch pipelines to process agent conversations, clinical events and patient outcomes at scale.


Responsibilities

• Build and operate streaming and batch data pipelines on Databricks using Spark and Delta Lake.

• Design, implement and maintain CDC (Change Data Capture) pipelines that sync operational databases into Delta Lake.

• Develop data mining pipelines for persona discovery, scenario extraction and edge-case detection.

• Build and own the data backend for the Research Platform, including natural-language-to-SQL capabilities.

• Implement robust data quality checks, staleness detection and automated alerting.

• Develop pipelines for voice and SMS analytics, including call quality and engagement metrics.

• Support multi-region data deployments and compliance requirements.

• Collaborate closely with agent engineers and data scientists to surface insights that improve agent performance.

Skillset

• At least 4 years of experience in production data engineering roles.

• Deep, hands-on experience with Databricks, Spark and Delta Lake.

• Strong proficiency in Python and SQL for building and maintaining data pipelines.

• Experience designing and operating streaming pipelines and CDC (change data capture) systems.

• A solid understanding of data modelling, medallion architectures (bronze/silver/gold) and query optimisation.

• Experience implementing data quality frameworks, monitoring and alerting.

• A proven track record of delivering reliable, production-grade data infrastructure.

• Exposure to machine learning pipelines, including feature engineering and training infrastructure is desirable.

• Experience building natural-language query interfaces or LLM-powered data tools is a bonus.

• Experience working with healthcare data and familiarity with HIPAA compliance requirements is a plus.

Benefits

• Salary: $220k - $260k

• Health, dental and vision coverage.

• Mental Health and Wellness support.

Our client, a fast-growing FinTech startup, are hiring a Founding Software Engineer to join the team in San Francisco. The successful candidate will work closely with the CEO to drive the company’s growth, develop innovative features, launch new products and tackle complex challenges in the deep learning and fraud detection space.


Responsibilities

• Partner with the CEO and core team to conceptualise, develop and launch innovative products.

• Own end-to-end development across the stack, from frontend user experiences to backend systems and database design.

• Rapidly prototype, test and iterate using Python and other tools to solve real-world problems.

• Shape both the technical architecture and the company’s culture as a key founding team member.

Skillset

• Demonstrated technical excellence with a proven history of delivering high-quality, production-ready code.

• Versatile across the engineering stack, from frontend improvements to backend architecture.

• Prior experience as a tech lead or engineering manager.

• Previous experience working in Fintech is a plus.

• Passion for deep learning and AI-driven solutions.

Our client, an innovator in the Financial Services industry, are hiring a Data Scientist to join their team in California. The successful candidate will be responsible to work at the intersection of data, engineering and fraud detection, while helping to shape and refine the company’s software as it evolves to stay ahead of increasingly sophisticated cyber-attacks.


Responsibilities

• Own end-to-end development of user-facing product features, from initial concept to full launch.

• Translate research findings into practical, high-impact product enhancements.

• Collaborate and work independently to design, test and refine solutions.

• Adopt a product-first approach, turning analysis into measurable results quickly.

Skillset

• PhD degree in Computer Science, Engineering or similar.

• Minimum of 2 years’ experience working in the data science field.

• Strong interest in software engineering and product development.

• Skilled at translating research insights into real-world solutions.

• Self-motivated with the ability to take ownership of projects and drive them to completion.

Benefits

• Salary: $140k - $170k.

• Remote working options.

• Develop, implement and fine-tune enterprise-level AI models and reliable production workflows.
• Create and maintain a real-time distributed execution engine that supports AI applications, agents and workflows.
• Design scalable and resilient systems that enable multi-tenant and hybrid cloud deployments, featuring secure APIs and a versatile integrations platform.
• Work closely with customers and design partners to collect feedback, validate approaches and guide product development.
• Collaborate with the product team to shape the roadmap and keep pace with the latest advancements in AI infrastructure.

• At least 5 years of experience deploying and managing production applications in cloud environments.
• Extensive knowledge of containers, virtual machines, caches, task queues, networking and operating systems.
• Proven experience in building and running production AI systems.
• Familiarity with AI inference methodologies.
• Proficient with machine learning frameworks such as PyTorch and TensorFlow.
• Strong product intuition with a commitment to delivering smooth and intuitive user experiences.
• Strategic thinker who can anticipate market demands and develop effective technical solutions.
• Startup mindset - quick to act, comfortable with uncertainty, and passionate about turning ideas into delivered products.

• Salary: $170K - $210k
• Equity
• Remote working within the U.S.

Our client, a fast-growing healthcare organization, are hiring a Machine Learning Engineer to join the team in New York or San Francisco. The successful candidate will play a key role in shaping the future of conversational AI by driving meaningful improvements in patient outcomes and transforming the way healthcare systems engage and communicate.


Responsibilities

• Develop and implement machine learning models tailored for SMS and voice-enabled conversational AI.

• Create scalable pipelines to support data ingestion, model training and real-time deployment.

• Fine-tune large language models using healthcare-focused datasets to enhance accuracy and relevance.

• Collaborate with full-stack engineering teams to seamlessly integrate AI capabilities into core product experiences.

• Lead the full lifecycle of model deployment, including monitoring, troubleshooting and iterative optimization.

• Continuously explore emerging AI/ML technologies and healthcare innovations to keep their solutions cutting-edge.

 

Skillset

• At least 4 years of experience in AI/ML engineering, with a strong focus on NLP, large language models and conversational AI.

• Proven track record of deploying ML models into production, preferably within healthcare or other regulated industries.

• Proficient in Python and experienced with ML frameworks such as TensorFlow and PyTorch.

• Strong skills in fine-tuning LLMs, prompt engineering and integrating models into real-world applications.

• Comfortable working with cloud platforms (e.g. AWS, Azure, GCP) and knowledgeable in MLOps practices for scalable deployments.

• Experience with voice and speech-based technologies, including recognition and generation.

• Hands-on background in designing and implementing conversational AI solutions.

• Exceptional analytical and communication abilities.

• Familiarity with HIPAA compliance and handling of sensitive healthcare data is a bonus.

Benefits

• Competitive Salary.

• Equity.

• Remote working.

• Comprehensive healthcare package.

Our client, a growing AI-driven startup, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will play a pivotal role in shaping both the product and platform, designing the APIs and infrastructure that power identity verification for millions of users.


Responsibilities

• Architect and develop high-performance APIs and backend services that power the company’s platform.

• Collaborate closely with product, design and frontend teams to deliver features from concept through production.

• Actively contribute to product vision, roadmap planning and key technical decisions.

• Take full ownership of major features and product areas, from initial design through deployment and iteration.

• Write production-grade Rust for secure systems handling highly sensitive data.

Skillset

• At least five years’ experience in Backend Software Engineering.

• Previous experience of designing scalable, secure architectures from the ground up.

• Knowledge of Rust, TypeScript, Postgres, Next.js / React, Pulumi, AWS and/or Vercel.

• Hands-on experience in KYC, identity verification or fraud prevention is a bonus.

• Background in cryptography or systems security is a plus.

• Strong interest and experience building large-scale systems in Rust.

• Experience operating at scale on AWS, with infrastructure-as-code tools.

Benefits

• Salary: $160,000?-?$230,000 DOE.

• Equity.

• Fully covered health, dental and vision insurance.

Our client, a growing AI-driven startup, is hiring a product-minded Senior Frontend Engineer to join the team in New York. The successful candidate will own the delivery of polished, high-quality user experiences, obsess over UI details and ensure the frontend platform remains scalable, maintainable and robust.


Responsibilities

• Take user-facing features from specification through development, deployment and iteration.

• Create seamless tools that make it easy for external developers to integrate with their platform.

• Improve CI/CD processes, release workflows and tooling for efficiency and reliability.

• Monitor frontend performance, optimize speed and provide actionable insights.

• Evolve and refine their component library to ensure consistency and scalability.

• Listen, analyze and translate user insights into meaningful product improvements.

Skillset

• Ability to own end-to-end delivery, prioritises outcomes, and balances speed with quality.

• Strong attention to detail on UI/UX and collaborate effectively with designers and teammates.

• Make thoughtful technical decisions without over-engineering.

• Experienced with CI/CD, release processes, performance optimisation, and observability.

• Leverages AI thoughtfully to accelerate development and improve quality while maintaining high engineering standards.

• Strong technical skills in Monorepo, React, TypeScript, Tailwind, React Query and/or Rust.

Benefits

• Salary: $170k- $220k DOE.

• Equity.

• Health, dental and vision insurance.

Our client, an AI-focused FinTech company, is hiring a Senior Backend Engineer to join their team in Manhattan, New York. The successful candidate will take the lead for core systems, from owning the overall architecture and building systems that are low-latency, resilient and cost-efficient.


Responsibilities

• Design, build and maintain backend services that are high-performance, resilient and easy to scale.

• Define service boundaries, data models and API contracts to enable independent team development.

• Set performance benchmarks and SLOs, designing systems for durability and graceful degradation under load.

• Lead technical design reviews and mentor engineers on best practices in code quality, testing, and operations.

• Take ownership of critical systems, including queue orchestration (Temporal), caching (Redis) and infrastructure automation.

Skillset

• Proven expertise building Node.js/TypeScript services.

• Experience with Go in production is a plus.

• Solid grasp of memory management, distributed systems, durable execution and edge computing.

• Hands-on experience with Temporal (or similar durable workflow systems) and Redis at scale.

• Comfortable deploying and operating services in modern cloud environments with strong observability practices.

• Familiarity with LLM integrations and their operational considerations is a plus.

• Strong communication and decision-making skills.

• Ability to make both high-level architecture and detailed code design decisions.

• Experience working with agentic or LLM-driven workflows is a bonus.

Benefits

• Salary: $150K–$200K

• Equity.

• Health, dental and vision insurance.

• 401k with 3% automatic contribution.