Senior LLM Engineer

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.

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