AI Engineering Lead

Cerebras; India; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Great work culture

Top talent colleagues

Competitive pay

Flexible hours

Job summary

Turing is seeking an experienced GenAI delivery leader to join our GenAI project and help solve business problems for Fortune 500 customers. You will work with a cross-functional team of engineers across multiple skill sets to deploy advanced GenAI systems.

The role emphasizes building and leading the technical roadmap, architecting GenAI solutions, and mentoring engineers while collaborating with product owners and data scientists to deliver impactful AI products.

Qualifications

• 12+ years of professional experience in building Machine Learning models & systems.
• 1+ years of hands-on experience with LLMs and Generative AI techniques (prompt engineering, RAG, agents).
• Proficiency in Python, LangChain/LangGraph and SQL.
• Experience architecting GenAI applications using frameworks & cloud services.
• Proficiency with Azure, GCP, or AWS.
• Experience driving engineering teams toward a technical roadmap.
• Excellent communication to collaborate with business SMEs.

Responsibilities

• Build the technical roadmap and own its delivery.
• Lead the engineering team toward the roadmap and ensure timely execution.
• Develop and optimize LLM-based solutions with prompt engineering, RAG, and agent-based architectures.
• Codebase ownership in Python and SQL, focusing on reusable, scalable components.
• Assist cloud deployment of GenAI apps with CI/CD practices.
• Collaborate with product owners, data scientists and SMEs on requirements.
• Mentor the team and promote best practices in ML and LLM development.

Skills

GenAI delivery leadership

Leadership

Communication

GenAI systems architecture

Cloud platforms

Roadmap ownership

Team mentoring

Tools

Python

LangChain/LangGraph

SQL

Azure

GCP

AWS

Job description

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.

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

About the role:

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with 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, RAG systems, and Open Source LLM deployments for major enterprises.

• 12+ years of professional experience in building Machine Learning models & systems
• 1+ years of hands‑on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• 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

• 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.
• Develop and optimize LLM-based solutions: Lead the design, training, fine‑tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval‑augmented generation (RAG), and agent‑based architectures.
• Codebase ownership: 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: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• 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.
• Mentoring and guidance: Provide technical leadership and knowledge‑sharing to the engineering team, fostering best practices in machine learning and large language model development.

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

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.