AI Engineering Lead
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Job Summary
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
Turing is looking for people with GenAI experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing Intelligence delivery organization and part of a GenAI project. You will be required to lead a team of other Turing engineers across different skill the past the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems and LLM deployments for major enterprises.
Solutioning & Lead
- Build the technical roadmap given a business requirement and own the delivery of the same.
- Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
- Design robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditions.
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team fostering best practices in machine learning and large language model development.
Hands-on Skills
- Develop LLM-based solutions: Lead the design training fine-tuning and deployment of large language models leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures.
- Build and maintain agent evaluation pipelines including offline eval datasets LLM-as-judge and CI-integrated eval runs.
- Codebase ownership: Build & maintain high-quality efficient code in Python (using frameworks like LangChain/LangGraph) and SQL focusing on reusable components scalability and performance best practices.
- Cloud integration: Deployment of GenAI applications on cloud platforms (Azure GCP or AWS) optimizing resource usage and ensuring robust CI/CD processes.
Communication
- Actively follows the frontier and has differentiated up-to-date views on model releases agentic architectures evaluation methods tool-use and computer-use patterns multimodal capability reasoning/test-time compute trends and the serious open questions in the field.
- Produce a structured high-signal answer to an open-ended technical or strategic question while modulating depth for a non-engineering executive audience.
- Cross-functional collaboration: Work closely with product owners data scientists and business SMEs to define project requirements translate technical details and deliver impactful AI products.
- 12 years of professional experience in software engineering and building applications/systems.
- 2 years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly multi-agent systems.
- Expert proficiency in programming skills in Python Langgraph and SQL is a must.
- Expert in architecting GenAI applications/systems using various frameworks & cloud services.
- Expert proficiency in using AI tools like Claude Code Codex Cursor Windsurf and the likes.
- Expert proficiency in AI observability & evaluation tools like Langsmith Langfuse or similar.
- Good proficiency in using various cloud services from Azure GCP or AWS for building GenAI applications.
- Experience in driving the engineering team toward a technical roadmap.
- Excellent communication skills to effectively collaborate with business SMEs.
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
Dont meet every single requirementStudies have shown that women and people of color are less likely to apply to jobs unless they meet every single 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 Turing we are dedicated to building a diverse inclusive and authentic workplaceand celebrate authenticity so if youre excited about this role but your past experience doesnt 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 reviewTurings GDPR notice here.
Required Experience:
IC
About Company
Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.
