Lead Forward Deployed Fullstack Engineer

Based in San Francisco California Turing is the worlds leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data specialized talent and training pipelines that advance thinking reasoning coding multimodality and STEM. For enterprises Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows unlock transformative outcomes and drive lasting competitive advantage.

Recognized by Forbes The Information and Fast Company among the worlds top innovators Turings leadership team includes AI technologists from Meta Google Microsoft Apple Amazon McKinsey Bain Stanford Caltech and MIT. Learn more at

We are seeking an experienced Full-Stack Engineer who brings deep Java and React expertise a polyglot mindset and the ability to extend existing systems with AI and agentic capabilities. The ideal candidate is a strong fungible engineer someone equally at home in a complex legacy Java application and a React client portal who can also add meaningful AI/LLM functionality on top of real-world business workflows.

This is not a role for pure AI/ML specialists or narrow LLM researchers. We need a utility player: an excellent full-stack engineer who has built or integrated agentic components and is motivated to do more of it over time.

Beyond individual contribution this person will play a pivotal role in mentoring junior developers driving architectural decisions and elevating engineering standards across the team.

Must-Have Technologies: Java 17 ReactJS Microservices AWS/Azure RDBMS NoSQL

Core Technical Skills

Full-Stack Engineering (Primary)

• 10 years of hands-on software development with deep expertise in modern Java full-stack development.
• Strong command of Java frameworks including Spring Spring Boot and Hibernate.
• Proven experience building single-page web applications using ReactJS Bootstrap and .
• Solid understanding of front-end architecture principles and data-driven UI development.
• Hands-on experience designing developing and deploying cloud-based architectures on AWS or Azure not inherited pipelines genuine architecture ownership.
• Expertise developing applications backed by both relational (SQL Server/PostgreSQL) and NoSQL (MongoDB/Elasticsearch) databases.
• Strong SQL development skills including query optimization and performance tuning.
• Working knowledge of modern security frameworks and standards: OAuth 2.0 OpenID Connect and JWT.
• Proficient in designing and building RESTful APIs following industry best practices.
• Experience with modern testing frameworks (Jest Mocha Chai) and a commitment to test-driven development.
• Demonstrated ability to write clean efficient maintainable code across a diverse stack.
• Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues.

Polyglot Engineering

• Comfortable working across multiple languages and tech stacks not single-stack only.
• Solid hands-on experience developing production applications automation tooling or backend services in Python.

AI / Agentic Integration (Secondary But Important)

We are not looking for candidates who only exist in Python or whose entire background is LLM/model training. We are looking for full-stack engineers who have demonstrably built systems with AI components or who have the depth and drive to take that on.

• Practical experience integrating LLMs into applications via APIs (e.g. OpenAI Anthropic Claude Azure OpenAI AWS Bedrock).
• Ability to add AI capabilities on top of existing enterprise systems examples include invoice OCR with LLM-based data extraction validation against contracts and payment logic.
• Familiarity with prompt engineering Retrieval-Augmented Generation (RAG) embeddings and vector databases.
• Understanding of responsible AI practices: data privacy hallucination mitigation evaluation and guardrails.
• Willingness and ability to grow into deeper agentic/LLM work over time.

Leadership & Soft Skills

• Proven ability to lead mentor and grow engineering teams with genuine ownership of that role not circumstantial seniority.
• Experience driving architectural decisions and setting technical direction across cross-functional teams.
• Strong stakeholder management: able to translate business requirements into scalable technical solutions.
• Track record of leading end-to-end delivery of complex projects from design through deployment.
• Effective communicator with both technical and non-technical audiences.
• Skilled at conducting code reviews establishing best practices and raising the bar for code quality.
• Experience coaching junior engineers contributing to hiring and managing technical debt alongside delivery pressures.
• Ownership mindset takes accountability for outcomes and drives initiatives forward proactively.

Good to Have (Palantir Foundry)

• Hands-on experience with Palantir Foundry including pipelines ontologies and data-driven applications.
• Familiarity with Foundrys development tooling: PySpark transforms TypeScript-based Functions Workshop.
• Exposure to enterprise-scale data integration and operational analytics workflows on Palantir.
• Exposure to AI/ML frameworks such as LangChain LlamaIndex or Hugging Face.
• Ability to identify and apply AI-driven solutions to real-world business problems within enterprise systems.

Compensation Range: $220000 to $250000

• We are client first: We put our clients at the center of everything we do because their success is the ultimate measure of our value.

• We work at Start-Up Speed: We move fast stay agile and favor action because momentum is the foundation of perfection

• We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.