Based in San Francisco, California, Turing is the world’s 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 world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
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 Node.js.
- 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 Foundry's 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: $220,000 to $250,000
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.
Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Skills Required
- 5 -8+ years of experience in software engineering or solutions engineering
- Proven expertise in Python, Langchain, LangGraph, and SQL
- Deep experience with engineering architecture, including APIs, microservices, and event-driven systems
- Demonstrated success in designing and deploying GenAI applications into production environments
- Strong proficiency with cloud services such as AWS, GCP, and/or Azure
- Excellent communication skills
- Comfortable working autonomously and managing multiple deployment tracks in parallel
Turing Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Turing and has not been reviewed or approved by Turing.
-
Fair & Transparent Compensation — Feedback suggests USD-denominated pay and access to higher-paying clients can outpace local benchmarks for many non‑U.S. developers. Payout timing and processing are described as predictable once engagements begin, which supports confidence in earnings.
-
Wellbeing & Lifestyle Benefits — Feedback suggests remote‑first work with flexible hours is a consistent positive that enhances day‑to‑day balance. The ability to work from anywhere and maintain autonomy is frequently highlighted as part of the overall rewards experience.
-
Healthcare Strength — Feedback suggests some U.S. corporate roles include comprehensive health benefits, with individual accounts referencing employer‑covered medical insurance. These signals indicate stronger healthcare support for certain employee populations.
Turing Insights
What We Do
We now live in a remote-first world and every company is in a race to find the best remote engineers. There are so many amazing engineers all over the world. Turing’s mission is to help unleash the world’s untapped human potential. More than 300 companies, including those backed by Google Ventures, Bloomberg, Andreessen, Founders Fund, and Kleiner are already using Turing to spin up their engineering dream teams. Turing’s hiring platform combines the planetary reach and AI to deliver your ideal engineers in order to help you spin up your engineering dream team. Our deep matching intelligence finds the best Turing developers across 100+ skills like React, Node, Python, Golang, Angular, Swift, Java, and many more. As part of our rigorous vetting process, we also review software engineers’ technical abilities, English skills, and remote working capabilities. Turing ensures time zone overlap, transparency, and reliable communication in order to make remote development easy for you after the match. The Turing team has deep expertise in AI and building engineering dream teams in the U.S. at top companies. Turing company is backed by well-known investors like Facebook’s initial CTO (Adam D’Angelo), executives from Google, Facebook, Amazon, Twitter, Founders Fund (investors in Facebook, Tesla, Asana, etc). Turing.com is led by serial A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan, their last A.I. firm leveraged remote talent and had a successful acquisition.
