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Our client, a leading innovator in Insurance industry, are hiring an AI Engineer to join their growing team in New York. The successful candidate will play a key role in executing the company’s AI strategy, along with designing, building and integrating intelligent, reliable and scalable AI-driven features into their core applications using modern web frameworks and cloud infrastructure.


Responsibilities

• Partner with product, engineering and design teams to uncover user challenges and deliver generative AI solutions using modern software development practices.

• Build end-to-end AI integrations across the full stack - frontend, backend and infrastructure - embedding intelligence directly into applications.

• Create smart search and information retrieval systems that enable users to access relevant data quickly and efficiently.

• Design and implement robust interactions with foundation models (e.g. GPT-4, Claude, Gemini) to ensure reliable and consistent performance.

• Deliver AI-powered features that uphold the highest standards of scalability, security and performance.

Skillset

• Minimum of 5 years of experience building modern full-stack web applications with Python and JavaScript/TypeScript.

• Practical experience integrating foundation models via direct API connections.

• Demonstrated ability to translate user challenges into elegant technical solutions and lead initiatives that deliver engaging AI experiences.

• Proficient across the full application stack, from frontend to backend and infrastructure.

• Knowledge of tool calling, multi-agent systems, and emerging frameworks such as Model Context Protocol (MCPs).

• Hands-on experience with Machine Learning (PyTorch, scikit-learn) and deploying proprietary or open-source models.

• Strong communication skills with a proven ability to collaborate effectively with cross-functional teams.

Benefits

• Salary: $170k - $200k

• Stock options.

• Healthcare, vision and dental insurance.

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.