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Our client, a leading partner in the Financial Services industry, are hiring a hands-on Tech Lead/Solutions Architect to join their team in New York. The successful candidate will be responsible for shaping the technical vision, designing and building scalable systems, and mentoring engineers, while remaining actively involved in the codebase.


Responsibilities

• Shape and guide the overall technical architecture and long-term engineering strategy.

• Lead and mentor a remote overseas DevOps/engineering team of 4–5 developers.

• Architect, design and develop scalable backend services and APIs.

• Remain hands-on with development, actively contributing to the codebase.

• Take ownership of features end-to-end, from design through delivery.

• Manage system orchestration and integration across services and platforms.

• Perform code reviews and uphold strong engineering and quality standards.

• Drive technical planning, documentation and development best practices.

• Facilitate or support Agile processes, including stand-ups, sprint planning and retrospectives.

• Work closely with internal stakeholders, with occasional participation in client discussions.

Skillset

• At least 8  years of professional software engineering experience.

• Proven experience in technical leadership or solution/architecture roles.

• Strong backend development background.

• Proficiency in JavaScript/TypeScript, Java (Spring Boot) and PostgreSQL.

• Experience designing, building and scaling modern backend systems and services.

• Demonstrated expertise in code reviews, engineering standards and mentoring developers.

• Comfortable leading and collaborating with distributed teams.

• Ability to translate business requirements into scalable technical architectures and delivery plans.

• Experience or exposure to DevOps practices and system orchestration.

• Able to balance strategic architectural thinking with hands-on coding and implementation.

Benefits

• Salary: $180k - $200k

• Potential Equity.

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 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.