Back
Tier-1 brand and Bangalore metro increase applicant density, but specialized LLM platform skills moderate competition.
Specialized LLM, RAG, and prompt-engineering expertise makes cross-industry transfers difficult.
Multiple mandatory technical skills, production LLM experience, and platform deployment requirements raise shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and scale AI platform infrastructure powering agentic analytics and chatbot products, including data retrieval, prompt orchestration, and grounded answer generation.
Own reliability, observability, compliance, and performance of AI analytics systems, collaborating closely with middleware and engineering teams.
Partner with Legal, Privacy, Security, and Responsible AI teams to ensure safe, compliant deployment of AI capabilities at scale.
Strong experience building production AI systems, LLM applications, or chatbot platforms.
Proficiency in Python engineering with production API development (FastAPI preferred).
Experience with RAG systems, prompt design, embeddings, vector stores, and hybrid retrieval.
Experience deploying services using Docker and Kubernetes in production environments.
Technical operator with deep knowledge of prompt engineering, AI orchestration (e.g., LangChain, LangGraph), and production-grade AI agent workflows.
Experienced working cross-functionally with middleware, platform teams, and compliance/legal stakeholders in large-scale AI product environments.
Skilled at building scalable, reliable, and observable AI infrastructure focusing on groundedness, accuracy, and cost efficiency.