Work Expert (WE) is an independent publishing and referral website. We are not a recruiter, hiring manager, agent or employer, and we are not affiliated with or endorsed by Turing. Applying takes you to the platform's own website, where we may be recorded as the referring source. We may receive a referral fee at no additional cost to you. Read our full affiliate disclosure →
Apply within 30 days of clicking - Turing only credits applications inside its 30-day attribution window.
About the Role
Senior LLM Engineer – GenAI / ML (Python, Langchain) Full Time Location: India
What You'll Do
Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines.
Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions.
Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.
Translate business needs into scalable, production-ready AI solutions.
Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases.
Contribute to architecture discussions, code reviews, and performance optimization.
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.
Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.