Location: Gurugram, Haryana, India

About Turing

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.

About Turing : About the role : 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 sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems and LLM deployments for major enterprises.

Required skills :

- 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 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
- Experience in driving the engineering team toward a technical roadmap.
- Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities :

- 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 agile 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.
- 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.

Values :

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

Advantages of joining Turing :

- 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

📌 Ai Engineering Lead (Gurugram)
🏢 Turing
📍 Gurugram