Senior LLM Engineer

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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