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Strong PwC brand, metro PAN-India role and mid-level (4–7 yrs) attracts high candidate density.
Requires specialized GenAI, agent and LLM engineering skills with limited cross-domain transferability.
Explicit 4–7 years requirement and mandatory GenAI, LangChain, RAG, vector DBs and Python skills.
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Design and implement autonomous AI agents using frameworks like LangChain, Crew.ai, SK, and Autogen.
Develop and optimize Retrieval Augmented Generation (RAG) systems and large language model (LLM) applications for improved information retrieval and response quality.
Establish evaluation frameworks, monitoring, and documentation to enhance agent performance, safety, and architecture.
4 to 7 years of relevant experience in GenAI and Agentic AI development.
Proficient in advanced Python programming including async programming and API development.
Experience with vector databases, embedding models, RAG pipelines, prompt engineering, and LLM optimization.
Degree in BE/BTech/MCA/MTech/MBA (Master of Engineering, Master of Business Administration, Bachelor of Engineering).
Experienced hands-on developer in autonomous agents and AI frameworks like LangChain and multiple LLM providers (e.g., OpenAI, Anthropic).
Skilled in modern software development practices including Git, CI/CD, testing, and container technologies (Docker, Kubernetes).
Knowledgeable about agent safety, hallucination resolution, semantic search, and AI alignment principles.