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Mid-level Bangalore role with metro location and mid experience increases competition but role is niche.
Role requires specialized LLM, RAG, and agentic AI production skills, limiting cross-industry transferability.
Explicit 5–7 years, mandatory LLM/RAG/LangChain and production/Kubernetes experience creates strict filters.
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Own design, development, and production deployment of AI products including voice and chat bots for enterprise clients at scale.
Design and build production-grade RAG pipelines and fine-tune large language models, architect scalable RESTful APIs with FastAPI.
End-to-end ownership of AI model productionization on Kubernetes, collaborating with product, data science, and DevOps teams to shape AI architecture and roadmap.
5–7 years of experience in Python engineering with hands-on experience building RAG applications and fine-tuning LLMs in production.
Proficient with FastAPI, MongoDB, PostgreSQL, and MySQL.
Experience with Kubernetes and taking AI models from prototype to stable production.
Location Requirement: Bangalore based role, working full-time onsite 5 days a week.
Demonstrated system design skill for high-volume, enterprise-scale AI workloads with strong Python fundamentals including async and clean code.
Practical experience building multi-step agentic AI systems using LangChain and/or LangGraph beyond theoretical knowledge.
Experience building and deploying voice bots or conversational AI at scale, familiarity with MLOps tooling and model observability to ensure reliable AI performance.