Role Overview :
Job Title : Senior Gen AI Engineer
GenAI / ML (Python, Langchain) Experience Required :
7–12 Years
We are seeking a highly experienced
Senior Gen AI Engineer
to join our engineering team focused on designing, developing, and deploying cutting-edge Generative AI and Large Language Model (LLM) based solutions. This is a hands-on role requiring deep technical expertise in Python, modern AI frameworks, and system-level thinking to translate complex business requirements into scalable and production-ready AI applications. You will play a pivotal role in shaping the GenAI strategy and delivering high-impact solutions for real-world enterprise use cases.
Key Responsibilities :
- GenAI System Design & Development : Build intelligent, context-aware systems using frameworks like Langchain and Retrieval-Augmented Generation (RAG).
- Prompt Engineering & Agent Workflows : Apply advanced prompt engineering and develop agent-based architectures for dynamic user interaction and reasoning.
- Technical Roadmapping : Collaborate with engineering leadership to define and implement the technical roadmap for GenAI and LLM initiatives.
- Solution Delivery : Translate business and functional requirements into scalable, robust, and maintainable AI / ML solutions.
- Cross-Team Collaboration : Work closely with business SMEs, product teams, and data engineers to align model outputs with domain-specific goals.
- Code & Architecture Excellence : Participate in system design, code reviews, and performance optimization of deployed solutions.
Required Skills
Proficient in Python, Langchain, and SQL.Deep understanding of LLM internals, including : ○ Prompt tuning ○ Embeddings ○ Vector databases (e.g., FAISS, Pinecone)Agent workflows
Strong foundation in Machine Learning or Software Engineering, especially in system design and architecture.Experience working on cloud platforms : AWS, Azure, or GCP.Ability to work autonomously and deliver in cross-functional environments.Strong communication skills, including experience with stakeholder engagement and technical documentation.Preferred Qualifications
1+ years of hands-on experience in LLMs and Generative AI technologies.Demonstrated experience contributing to or leading ML / AI product pipelines and end-to-end deployments.Familiarity with MLOps, CI / CD for ML, and model monitoring in production.Previous exposure to client-facing projects or collaborative work with business units and AI teams.