Senior LLM Engineer – GenAI / ML (Python, Langchain)

Senior LLM Engineer
remote

https://work.turing.com/r/02BvEn8UPe

Software development
Referral Bonus · $150
Required Skills
Machine Learning
Artificial Intelligence
Job Description
Senior LLM Engineer – GenAI / ML (Python, Langchain)

Full Time
Location: India
Overall Experience: 7–12 Years

Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration.

Key Responsibilities:

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.
Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows.
Background in machine learning or software engineering with a focus on system-level thinking.
Experience working with cloud platforms like AWS, Azure, or GCP.
Ability to work independently while collaborating effectively across teams.
Excellent communication and stakeholder management skills.
Preferred Qualifications:

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.