AI Engineer Jobs

Our client, an AI-driven startup focused in the digital media industry, is hiring a Senior/Staff Product Engineer to join their team in Brooklyn, New York. The successful candidate will own key areas of the company's frontend product, serving as a technical leader who shapes the canvas, workflow systems and media layer for image and video editing, while also guiding both the technical direction and growth of the product engineering team.


Responsibilities

• Design and develop canvas and workflow systems that simplify even the most complex multi-step pipelines for users.

• Enhance the company's media control layer to deliver powerful image and video editing capabilities.

• Ship high-performance, visually polished interfaces that meet the standards of professional creatives.

• Drive architectural decisions across our frontend stack, including Next.js, React, Zustand, React Flow, Convex and Vercel.

• Build and deliver features that span the full stack, ensuring seamless integration and performance.

Skillset

• Minimum of 7 years of experience building web applications and delivering polished, production-ready products at scale.

• At least 5 years of deep expertise with React and TypeScript, with strong opinions on component architecture, state management and performance.

• Proven ability to craft high-performance, visually refined web applications.

• Demonstrated technical leadership, e.g. setting direction, making architectural decisions and mentoring engineers.

• Experience building AI-native applications is a bonus.

• Familiarity with advanced web media APIs such as WebGL (@react-three/fiber), WebGPU, WebCodecs and WebAssembly is a plus.

• Experience with 3D graphics or web-based audio/video streaming is an advantage.

• Hands-on experience with professional creative tools like TouchDesigner, Ableton, DaVinci Resolve and Blender is a plus.

Benefits

• Salary: $160k - $200k DOE.

• Equity.

• Comprehensive health and dental coverage.

Our client, a leading insurance company, are hiring a Senior Data Scientist to join their AI Studio Team in New York. The successful candidate will develop and implement production-ready AI/ML solutions that drive enterprise-wide decision-making, transforming complex data into actionable insights and scalable outcomes.


Responsibilities

• Lead data science initiatives and mentor junior team members.

• Manage projects end-to-end, from data exploration and design through to modelling and delivery.

• Conduct data wrangling, matching and ETL across a wide range of data sources.

• Develop and deploy high-performing predictive models using advanced machine learning and AI techniques.

• Collaborate with Data Engineering and MLOps teams to productionize solutions.

• Ensure data quality, integrity and robustness throughout both development and deployment.

• Apply innovative statistical and mathematical approaches to solve complex business challenges.

• Communicate insights effectively through clear data visualizations and presentations.

• Work closely with stakeholders to identify and deliver data-driven opportunities.

• Contribute to the development of best practices, tools and standards within the data science function.

Skillset

• PhD or Master's degree in Statistics, Computer Science, Engineering, Applied Mathematics or equivalent.

• At least 4 years of hands-on experience in machine learning development.

• A strong foundation in statistical modelling and data analysis.

• Experience with a range of machine learning techniques, including clustering, decision trees, boosting and neural networks.

• A proven track record in experimental design and execution.

• Expertise in data wrangling, including techniques such as fuzzy matching and regular expressions, as well as experience with distributed computing.

• Advanced programming skills in Python.

• A solid understanding of algorithms and machine learning model development.

• Excellent communication skills, with a strong attention to detail and well-developed problem-solving abilities.

• Experience mentoring or leading other data scientists.

Benefits

• Salary: $120k - $195k DOE.

• Comprehensive benefits package.

Our client, a leading insurance company, are hiring a Senior Data Scientist with skills in Agentic AI to join their Data & AI team in New York. The successful candidate will lead the development and deployment of agentic AI systems, large language models and intelligent automation solutions to enhance business operations and elevate customer experiences.


Responsibilities

• Design and implement agentic AI solutions to automate complex workflows, enhance decision-making, and improve both customer and employee experiences.

• Operationalise large language models (LLMs) and generative AI to process and interpret unstructured data, including contracts, claims, medical records and customer interactions.

• Develop autonomous agents and multi-step reasoning systems that integrate seamlessly with core business platforms.

• Collaborate with Data Engineering and AIOps teams to deliver scalable, production-ready AI solutions.

• Apply research in agentic AI, reinforcement learning and reasoning systems to practical use cases across underwriting, claims and risk assessment.

• Work closely with product, engineering and business stakeholders to define use cases and evaluate return on investment.

• Contribute to the Data Science Lab by developing reusable frameworks and promoting best practices.

• Mentor junior data scientists and support the standardisation of AI/ML tools, practices and frameworks.

Skillset

• PhD or Masters Degree in Statistics, Computer Science, Engineering, Applied Mathematics or similar.

• Minimum of 3 years of hands-on experience in AI/ML modelling and development.

• Strong grounding in probability and statistical methods.

• Proficient in Python, with experience using frameworks such as PyTorch, TensorFlow and LangGraph.

• Solid knowledge of machine learning algorithms, optimization techniques and statistical modelling approaches.

• Effective communicator with the ability to collaborate across both technical and business teams.

• Excellent analytical and problem-solving skills, with a high level of attention to detail.

• Proven experience mentoring others and contributing to technical leadership.

Benefits

• Salary: $120k - $195k DOE.

• Comprehensive benefits package.

Our client, a leading insurance organization, is hiring a Senior ServiceNow Technical Consultant to join the team. The successful candidate will play a key role in advancing their enterprise risk technology landscape, taking responsibility for shaping and evolving the Integrated Risk Management (IRM) ecosystem while delivering, maintaining and enhancing risk management applications on ServiceNow.


Responsibilities

• Lead day-to-day technical support for IRM, BCM and TPRM applications in production.

• Maintain and optimize platform configurations, including forms, lists, workspaces, notifications and ACLs.

• Monitor integrations, scheduled jobs and data quality processes to ensure platform stability.

• Provide Level 2 support for incidents and problem management.

• Translate business requirements into scalable technical designs aligned with out-of-the-box best practices.

• Deliver key enhancements across IRM, BCM and TPRM, including workflows, approvals and user experiences.

• Develop and maintain core platform components such as Flow Designer logic, business rules and scripts.

• Strengthen and manage integrations with internal and external systems using APIs and Integration Hub.

• Support platform upgrades and drive adoption of new ServiceNow capabilities.

• Mentor junior engineers and contribute to best practices, standards and continuous improvement.

Skillset

• Minimum 10 years of experience working with enterprise SaaS platforms.

• At least 5 years of hands-on experience in ServiceNow development or advanced administration.

• Strong knowledge of the ServiceNow platform, including tables, relationships, ACLs, Flow Designer, UI policies and JavaScript.

• Experience working with IRM, BCM, TPRM or other non-ITSM modules.

• Demonstrated ability to translate new platform features into tangible business value.

• Experience designing and building reports and dashboards.

• Excellent stakeholder engagement and communication skills.

• Solid understanding of data governance, system performance and security principles.

• Proven experience leading troubleshooting efforts and platform improvement initiatives.

• A strong focus on automation, simplification and continuous improvement.

Benefits

• Salary: $170k - $190k

• 15% annual bonus.

• Hybrid working in New York, New Jersey, Connecticut or Pennsylvania.

Our client, a growing AI company, are hiring a Founding Data Engineer to join their team in New York. The successful candidate will establish and own the organisation's data function from the ground up, spanning everything from instrumentation to infrastructure, and defining how data is captured, modelled, and leveraged to inform product and growth decisions.


Responsibilities

• Review and assess existing PostHog telemetry, event tracking and user behaviour.

• Design scalable data models with robust metadata structures.

• Build and take ownership of data infrastructure, warehousing and pipelines.

• Identify and define key metrics (e.g. activation, engagement quality, power users).

• Develop executive-ready dashboards that drive real usage and decisions.

• Evaluate and select core data tools and technologies.

• Collaborate with growth engineering to design tracking frameworks and instrumentation.

Skillset

• Over 6 years of experience in data engineering or analytics engineering.

• Proven ability to operate autonomously, ideally as a first data hire.

• Advanced SQL skills and experience with modern data platforms (e.g. Snowflake, BigQuery, Databricks).

• Strong track record of building pipelines, schemas and data infrastructure from scratch.

• Strong product intuition with clear commercial awareness.

• Ability to distinguish signal from noise and communicate insights effectively.

• Experience with activation modelling, conversion analysis, and A/B testing.

• Experience in SaaS, web analytics or product-led growth environments.

Benefits

• Salary: $170k - $240k.

• Medical, vision and dental insurance.

• 401(k).

• Childcare support.

Our client, an AI-driven startup impacting the digital media sector, are hiring a Applied AI Engineer to join their team in Brooklyn, New York. The successful candidate will work directly with the founders to define how creative professionals interact with AI in the generative era, from designing, implementing and scaling the core agentic workflows that enable seamless orchestration of text, image, and video models.


Responsibilities

• Design and build the organization's intelligence layer, agentic systems that power reliable, intuitive and multi-step creative workflows.

• Seamlessly integrate text, image and video models into experiences that creatives trust and enjoy.

• Collaborate closely with product, design and infrastructure teams to develop agentic features that let creatives bring ideas to life while keeping full control.

• Ensure robustness and reliability through evaluation frameworks, memory and retrieval strategies, and sophisticated orchestration across models, APIs and tools.

Skillset

• Minimum of 3 years of engineering experience.

• Hands-on experience building agentic systems (multi-step pipelines, memory-enabled assistants or tool-using agents).

• Strong skills in system evaluation, regression testing and human-in-the-loop validation.

• Expertise in memory and retrieval strategies (vector databases, embeddings, context management).

• Experience orchestrating models, APIs and tools (handling retries, fallbacks and edge cases).

• Comfort reasoning about multi-modal workflows and integrating them into user-facing products.

• Ability to work across the full stack and collaborate with product and design teams.

• A Product-minded mindset, such as valuing usability and creative control as much as technical innovation.

• Experience with creative tools, generative models or node-based interfaces is a bonus.

Benefits

• Salary: $150k - $200k DOE.

• Equity.

• Comprehensive health and dental coverage.

• Gym membership.

Our client, an AI-driven startup focused in the digital media industry, are hiring a Senior/Staff Backend Engineer to join their team in Brooklyn, New York. The successful candidate will lead the organization's backend systems, driving technical direction, owning core infrastructure and shaping the growth of their backend team to support fast-growth expansion.


Responsibilities

• Design and implement a generation orchestration layer capable of supporting rapid user growth and high-demand workloads.

• Enhance observability across backend systems to proactively identify and resolve issues before they impact users.

• Optimize the database layer, including schema design, indexing strategies, migrations and overall performance at scale.

• Drive vendor and architectural decisions to enable new features and improve system reliability.

• Partner with the CTO, Product Engineer and Intelligence Engineering teams to deliver a stable, high-performance foundation for all clients.

Skillset

• At least 7 years of experience building resilient backend systems that operate at significant scale.

• Minimum of 5 years of TypeScript expertise with strong convictions on type safety, error handling and code structure.

• Demonstrated ability to design, deploy and maintain highly reliable systems.

• Hands-on experience with queue-based architectures, including job scheduling, orchestration and fault-tolerant workflows.

• Strong intuition for observability e.g. instrumentation, monitoring and proactively improving system reliability.

• Proven technical leadership e.g. defining architecture, making critical decisions and mentoring engineering teams.

• Experience with Convex or other real-time database architectures is a plus.

• Familiarity with creative tools, media pipelines or workflows involving complex asset management.

• Expertise in large-scale queueing and orchestration systems.

• Knowledge of serverless patterns and platforms, including Vercel, AWS Lambda and Google Cloud Run is an advantage.

Benefits

• Salary: $180k - $220k DOE.

• Equity.

• Comprehensive health and dental coverage.

Our client, an innovator in the healthcare industry, is hiring a hands-on Tech Lead Manager (Machine Learning) to join their team in Utah. The successful candidate will lead the development of the Personalization Engine, combining hands-on machine learning engineering with team leadership to build and scale production ML systems that deliver real-world impact.


Responsibilities

• Take ownership of the machine learning system that powers the organization's Personalization Engine.

• Lead the end-to-end ML lifecycle, including model development, deployment, monitoring and optimization.

• Ensure the platform remains reliable and scalable across millions of healthcare transactions.

• Build advanced ML solutions such as ensemble models, reinforcement learning approaches and multi-armed bandit systems.

• Architect and maintain high-performance MLOps infrastructure, including feature stores, data pipelines and monitoring systems.

• Strengthen feedback loops so models continuously learn and improve based on real patient behaviour.

• Lead, manage and mentor a team of machine learning engineers.

• Carry out thorough code and system design reviews to uphold strong technical standards.

• Promote a culture focused on experimentation, continuous learning and meaningful impact.

• Partner closely with product and design teams to translate complex patient journey challenges into ML-powered solutions.

Skillset

• At least 6 years of experience designing and deploying machine learning systems in production environments at scale.

• Proven experience building personalisation or recommendation engines for consumer-facing products (e.g. fintech, e-commerce).

• Strong programming capabilities in Python and SQL.

• Minimum of 2 years' experience leading teams, managing engineers or operating as a technical ML lead.

• Hands-on experience across the entire ML lifecycle, including data pipelines, model development and MLOps.

• Ability to translate business challenges into practical machine learning solutions.

• Experience incorporating Generative AI into personalisation platforms or features is a bonus.

• Broader product engineering leadership experience beyond ML-focused systems.

Benefits

• Salary: $195,000 - $245,000 DOE.

• Equity.

• Flexible and Remote working options.

• Health benefits.

• 401(k) with 100% match up to 3%

Our client, an innovator in the healthcare industry, is hiring an AI Engineer (Applied Scientist) III to join their team in Utah. The successful candidate will combine data science, experimentation and production engineering to design, build and optimize AI-driven workflows, helping to enhance platform performance and improve the patient experience.


Responsibilities

• Build and enhance features for the organization's AI voice agent, using production-level coding alongside prompt and context engineering.

• Design and execute structured experiments, breaking larger objectives into clear, testable hypotheses.

• Deliver features iteratively, analyze real user interactions and continuously optimize the agent's performance and behavior.

• Analyze both structured and unstructured data, including call transcripts and patient account information.

• Collaborate with engineers, scientists, designers and product managers to deliver effective solutions.

• Utilize AI-enabled coding tools to accelerate development and experimentation.

• Contribute to a fast-paced team focused on improving patient financial experience.

Skillset

• At least 3 years of experience working in a structured product development environment with frequent product releases.

• Proven experience collaborating with cross-functional teams and translating business requirements into effective technical solutions.

• Strong understanding of scientific experimentation methods alongside solid software engineering practices.

• Proficiency in modern programming languages, with Python and TypeScript preferred.

• Experience using AI-assisted coding tools to support development workflows.

• Strong analytical skills, with the ability to investigate and interpret complex datasets.

Benefits

• Salary: $170,000 - $215,000 DOE.

• Equity.

• Flexible and Remote working options.

• Health benefits.

• 401(k) matching up to 3%.

Our client, an exciting AI-driven startup, is hiring a Backend/Full Stack Engineers to join the team in San Francisco. The successful candidate will join a tight-knit team of top engineers, pioneering the next generation of websites and online commerce powered by LLMs (Large Language Models).


Responsibilities

• Design, build and maintain scalable web applications and backend systems that power AI-driven experiences.

• Collaborate closely with product and design teams to rapidly iterate on 0?1 features and experiments.

• Implement and optimise LLM integrations, retrieval systems and AI-powered workflows.

• Build robust data pipelines, real-time data flows and distributed systems to support dynamic applications.

• Ensure high-quality user experiences through careful attention to performance, reliability and usability.

• Participate in architectural decisions, code reviews and knowledge sharing to raise the team's technical bar.

• Monitor and improve system observability, performance and security.

• Stay ahead of AI, web and infrastructure trends to continuously improve our products and engineering practices.

Skillset

• Proven experience taking products from 0?1, balancing speed, scalability and quality - whether as a founder or early-stage startup engineer.

• Hands-on expertise with cutting-edge AI models, LLM retrieval systems or data-intensive applications, with a strong understanding of current and emerging capabilities.

• Passionate about crafting high-quality user experiences and tackling the practical challenges of building AI-powered products.

• Successfully shipped production LLMs or consumer-facing applications that users rely on and enjoy.

• Built recommendation engines or critical data infrastructure that scale reliably.

• Proficient with Postgres, ElasticSearch, AWS, and infrastructure-as-code (IaC) tools.

• Familiar with modern stacks and languages such as Elixir, Go, TypeScript, NextJS, Fastify, Python and similar technologies.

• Experienced in model-based evaluation, monitoring and observability systems to ensure product reliability.

Benefits

• Salary: $180k - $220k DOE.

• Health insurance for you and your family.

• 401k plan.

Our client, an exciting AI-driven startup, is hiring an Infrastructure Engineer to join the team in San Francisco. The successful candidate will be responsible to design, build and maintain the infrastructure and tooling that drive the next generation of AI products, including shaping how the company builds, operates and monitors its systems in production.


Responsibilities

• Design, implement and maintain AWS infrastructure across compute, networking, storage, IAM, monitoring, logging and security.

• Manage infrastructure-as-code tooling to codify, version and deploy systems reliably.

• Work closely with engineers and stakeholders to map dependencies, build deployment pipelines and ensure seamless rollouts.

• Balance priorities across feature delivery, reliability, technical debt and infrastructure evolution, as well as making informed decisions, sequencing work effectively and communicating trade-offs clearly.

• Ensure production system reliability by defining SLAs, setting up monitoring and alerting, managing incident response and contributing to post-mortems for continuous improvement.

• Identify and execute improvements proactively, enhancing infrastructure performance, scalability and operational efficiency.

Skillset

• Extensive AWS expertise including EC2, ECS, Lambda, VPC, S3, RDS, IAM, CloudWatch and related services.

• Proven experience with infrastructure-as-code tools such as Terraform or Pulumi in production environments.

• Hands-on experience building CI/CD pipelines, for example using GitHub Actions.

• Strong understanding of reliability engineering, including monitoring, alerting, incident response, capacity planning, chaos testing and load management.

• Excellent communication skills, able to clearly explain infrastructure, trade-offs, reliability metrics and deployment processes to both technical and non-technical stakeholders.

• Previous startup experience is a plus.

• Familiarity with Elixir and TypeScript is desirable.

• Knowledge of security compliance frameworks such as SOC2 and ISO27001.

• Experience with Kubernetes/EKS is a bonus.

Benefits

• Salary: $185k - $250k DOE.

• Health insurance for you and your family.

• 401k plan.

Our client, an early-stage, AI-driven startup in the defense industry, is hiring an AI Infrastructure Engineer to join their team in California. The successful candidate will design and scale the foundation of their model training and deployment ecosystem to enable their vision-language-action models to learn from massive real-world datasets and operate seamlessly across both edge and cloud environments.


Responsibilities

• Design and implement pipelines to ingest, transform and store petabytes of multimodal data from their robotic and operator systems.

• Develop tools for dataset exploration, curation, versioning and quality monitoring.

• Build and maintain distributed training infrastructure for large-scale multimodal and foundation model training, both in the cloud and on-premises.

• Implement orchestration workflows to launch, track and debug large-scale model runs.

• Identify and resolve bottlenecks in compute, memory, storage and network performance.

• Collaborate with AI, autonomy and systems teams to support real-time and mission-critical applications.

• Maintain observability and reliability tools for training and inference pipelines.

• Stay up to date with best practices in MLOps, distributed training frameworks and AI infrastructure at scale.

Skillset

• Bachelor's degree or higher in Computer Science, Electrical Engineering or a related technical field.

• Minimum of 3 years of experience in ML infrastructure, MLOps or large-scale data systems.

• Proven experience with distributed training frameworks (e.g. PyTorch DDP, DeepSpeed, Ray) and workflow orchestration tools (e.g. Kubernetes, Airflow, or equivalents).

• Strong proficiency in Python and hands-on experience with cloud-native infrastructure (AWS, GCP or Azure).

• Solid understanding of data engineering concepts, including ETL pipelines, object storage, data versioning and metadata management.

• Familiarity with containerization technologies (Docker, Kubernetes) and monitoring systems (Prometheus, Grafana).

• Experience optimizing GPU cluster utilization, scaling training jobs and profiling model performance.

• Experience with edge-deployed ML systems, federated training or robotic data collection pipelines is a plus.

• Must have legal authorization to work in the U.S.; certain responsibilities may involve access to export-controlled information.

Benefits

• Salary: $160K - $220K DOE. Exceptional candidates may be considered for higher compensation.

• Performance Bonus.

• Equity.

• Medical, dental and vision insurance.

Our client, an early-stage, AI-driven startup in the defense industry, is hiring an AI Researcher to join their team in California. The successful candidate will combine advanced machine learning research with robotics and defense applications, transforming foundational research into scalable, robust models that operate effectively in unstructured, high-stakes environments - from concept through to deployment.


Responsibilities

• Conduct original research in embodied AI, including reinforcement learning, imitation learning, memory, reward design, vision-language modeling and world modeling.

• Build, test and benchmark large-scale models for perception, decision-making and control in both simulated and physical environments.

• Investigate transfer learning and continual learning across diverse robotic domains.

• Collaborate with engineering, robotics and field teams to integrate research into operational systems.

• Lead research strategy and define the roadmap across key areas of autonomy and machine learning.

• Support field tests and data collection campaigns to evaluate system performance in realistic environments.

Skillset

• PhD in Computer Science, Robotics, Machine Learning or similar.

• Proven publication record in top-tier conferences or journals.

• Deep expertise in reinforcement learning, imitation learning, vision-language models, sim-to-real transfer, world modeling or agentic AI.

• Hands-on experience building and evaluating models for embodied agents or autonomous systems.

• Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow or JAX.

• Experience working with large-scale datasets and high-dimensional sensor inputs.

• Demonstrated ability to take research ideas from concept to deployed prototype.

• Background in DoD, aerospace, or other mission-critical operational deployments is a plus.

• Legal authorization to work in the U.S.; some duties may require access to U.S. export-controlled information.

Benefits

• Salary: $160K - $220K DOE. Exceptional candidates may be considered for higher compensation.

• Performance Bonus.

• Equity.

• Medical, dental and vision insurance.