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AI Engineering Lead jobs in United States
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Turing · 1 hour ago

AI Engineering Lead

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. The AI Engineering Lead will be responsible for leading a team of engineers to design and implement large language models and generative AI applications, ensuring timely execution of technical roadmaps to meet customer needs.
Artificial Intelligence (AI)Information TechnologySoftwareGenerative AIMachine LearningSoftware Engineering
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H1B Sponsor Likelynote

Responsibilities

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
Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development
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
Build & maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices
Deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes
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
Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products

Qualification

Generative AILarge Language Models (LLMs)Multi-agent systemsPythonLanggraphSQLGenAI application architectureAI tools Claude CodeAI tools CodexAI tools CursorAI tools WindsurfAI observabilityEvaluation tools LangsmithEvaluation tools LangfuseCloud services AzureCloud services GCPCloud services AWSTechnical roadmap developmentMachine learning

Required

12+ years of professional experience in software engineers 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 the GenAI applications
Experience in driving the engineering team toward a technical roadmap
Excellent communication skills to effectively collaborate with business SMEs

Benefits

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

Company

Turing advances frontier AI and builds real-world systems for Fortune 500 companies, governments, and the world’s leading AI labs.

H1B Sponsorship

Turing has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
33%
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Marketing
Sales
Accounting and Finance
Trends of Total Sponsorships
*2026 (10)
2025 (14)
2024 (7)
2023 (7)
2022 (16)
2021 (6)

Funding

Current Stage
Late Stage
Total Funding
$270.19M
Key Investors
Khazanah NasionalAltaIR CapitalWestBridge Capital
2025-03-06Series E· $111M
2021-12-07Convertible Note· $6.85M
2021-10-04Series D· $87M

Leadership Team

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Jonathan Siddharth
Founder & CEO
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Vijay Krishnan
Founder & CTO
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Company data provided by crunchbase