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

Job Summary

We are seeking highly skilled and experienced Senior LLM Engineers with a strong background in Machine Learning and Software Engineering who have transitioned into Generative AI (GenAI) and Large Language Models (LLMs) over the past 3–4 years. In this hands-on engineering role, you will be responsible for designing, building, and deploying GenAI-based systems using frameworks like LangChain and advanced methodologies such as Retrieval-Augmented Generation (RAG) pipelines. This role is key to translating complex business requirements into scalable, production-ready AI solutions, and it requires close collaboration with cross-functional teams. Immediate joiners to 15 days notice period are preferred, with the role based in Gurugram.

Responsibilities

• GenAI System Design: Architect and develop GenAI/LLM-based systems using frameworks such as LangChain and RAG pipelines.
• Prompt Engineering & Agent Design: Implement advanced prompt engineering strategies and design agent-based workflows to build intelligent, context-aware AI systems.
• Technical Roadmapping: Collaborate with product and engineering stakeholders to define and drive the technical roadmap for LLM and GenAI initiatives.
• AI Solution Delivery: Translate complex business requirements into scalable, production-ready AI solutions.
• Cross-functional Collaboration: Work closely with business subject matter experts, product owners, and data engineering teams to ensure AI models align with real-world use cases.
• System Optimization: Participate in code reviews, system architecture discussions, and performance tuning of deployed models.

Qualifications

• 7–12 years of total experience in Machine Learning/Software Engineering with 3–4 years of recent experience in LLMs and Generative AI.
• Strong proficiency in Python, LangChain, and SQL.
• Deep understanding of LLM concepts including prompt tuning, embeddings, vector databases (e.g., FAISS, Pinecone), and agent frameworks.
• Practical experience working with cloud platforms such as AWS, Azure, or GCP.
• Solid understanding of ML pipelines, deployment strategies, and GenAI use cases.
• Excellent verbal and written communication skills with the ability to engage effectively with both technical and non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced, cross-functional environment.

Preferred Skills

• Experience in designing and implementing complex AI and ML systems.
• Demonstrated ability to lead technical discussions and mentor junior engineers.
• Familiarity with agile development methodologies and best practices in AI system deployment.
• Proactive problem-solving skills and a strong passion for innovation in AI technologies.

Experience

• Minimum of 7+ years of overall experience in Machine Learning and Software Engineering.
• At least 3–4 years of recent hands-on experience specifically with LLMs and Generative AI.

Environment

• Location: Gurugram
• Work setting may be in-office or hybrid based on organizational requirements.
• Fast-paced, collaborative environment involving cross-functional teams.
• Immediate joiners to join within 15 days are preferred.

Tools

file_search

// Tool for searching files uploaded by the user. // // To use this tool, you must send it a message. To set the tool as the recipient for your message, include this in the message header: to=file_search.<function_name> // // For example, to call file_search.msearch, you would use: // <|im_start|>assistant to=file_search.msearch code<|im_sep|>{"queries": ["first query", "second query"]}<|ghissue|> // // Note that the above must match exactly.