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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level experience requirement, and Pune metro location increase candidate competition.
Highly specialized GenAI and LLM toolchain requirements limit easy cross-industry transferability.
Explicit 5+ years, mandated 2–3 years GenAI experience, and many required LLM frameworks make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain LLM-powered and agentic AI applications using APIs and multi-agent frameworks.
Build and optimize RAG pipelines and embedding systems for efficient context-aware AI outputs.
Establish testing, validation, and performance monitoring mechanisms focusing on model quality, accuracy, and cost efficiency.
Minimum Requirements
5+ years of total IT experience, including 2–3 years in AI/ML or Generative AI development with hands-on LLM application deployment.
Proficiency in Python and experience with LangChain, LlamaIndex, CrewAI, LangGraph, and relevant vector databases (FAISS, Pinecone, Chroma, Milvus).
Experience with testing and evaluation frameworks such as TruLens, LangSmith, PromptLayer, or DeepEval.
Working knowledge of at least one cloud AI platform among Azure, AWS, GCP, or OCI.
Ideal Candidate Profile
Experienced in end-to-end Generative AI and agentic AI application development with production or pilot deployments.
Skilled in prompt engineering techniques and multi-agent orchestration frameworks to build complex AI workflows.
Practices disciplined testing, monitoring, and optimization aligned with Responsible AI and MLOps/LLMOps principles.