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Senior LLM Engineer

per hour
Contractor Remote Last verified 21 Jul 2026
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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.
  • Skills Required:
  • Proficient in Python, Langchain, and SQL.

You're a Good Fit If You

  • Required skills: Machine Learning, Artificial Intelligence
  • 1+ years of hands-on experience in LLMs and Generative AI techniques.
  • Experience contributing to ML/AI product pipelines or end-to-end deployments.
  • Familiarity with MLOps and scalable deployment patterns for AI models.
  • Prior exposure to client-facing projects or cross-functional AI teams.

Role Highlights

Pay
Pay varies
Contract
Contractor
Location
Remote
Category
Coding
Posted
2 years ago
Job ID
WE-8209

Pay & Payout

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.

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