SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Turing, a San Francisco-based AI research accelerator and enterprise AI systems builder, is seeking an AI Engineering Lead to join its GenAI delivery organization. You will lead a team of engineers across multiple skill sets to design, build, and deploy advanced AI systems for Fortune 500 customers.
In this role, you will own the technical roadmap for GenAI projects, translating business requirements into robust technical solutions. You'll lead engineering teams toward timely execution, mentor engineers on machine learning and LLM best practices, and ensure customer satisfaction through high-quality delivery.
Key responsibilities include designing multi-agent LLM architectures (including supervisor-router patterns with dynamic routing), developing LLM-based solutions using techniques like RAG and multi-agent systems, and building evaluation pipelines with offline datasets and LLM-as-judge approaches. You'll maintain high-quality Python codebases (LangChain/LangGraph), SQL, and deploy GenAI applications on cloud platforms (Azure, GCP, AWS) with optimized CI/CD processes.
You'll also stay current with frontier AI developments, communicate technical insights to non-engineering executives, and collaborate cross-functionally with product owners, data scientists, and business stakeholders.
Required qualifications: 12+ years of professional software engineering experience, 2+ years hands-on with LLMs and generative AI (especially multi-agent systems), expert-level Python and SQL proficiency, and demonstrated experience architecting GenAI applications. You must be proficient with AI tools (Claude Code, Cursor, Windsurf) and observability/evaluation platforms (Langsmith, Langfuse). Experience driving engineering teams toward technical roadmaps and excellent communication skills are essential.
