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Job Description
Structured overview of role & requirementsAbout This Role
Design and deploy production-grade Generative AI and Agentic AI solutions leveraging LLMs like OpenAI and Anthropic.
Build and maintain multi-agent systems including RAG pipelines, HITL workflows, and AI agent orchestration using frameworks such as LangChain and AutoGen.
Develop scalable APIs and services with Python/FastAPI, handle vector databases, and deploy on cloud platforms (Azure/AWS/GCP) with secure enterprise integrations.
Minimum Requirements
8+ years of software engineering experience with strong GenAI/Agentic AI delivery background.
Proven experience deploying production AI solutions, not limited to prototypes or POCs.
Proficient in Python and FastAPI, with hands-on experience in LLMs, RAG, vector databases (FAISS, Pinecone, pgvector), and agentic AI frameworks.
Experience working with Azure or equivalent public cloud platforms (AWS/GCP) including credential management and RBAC.
Ideal Candidate Profile
Experienced in architecting and operating multi-agent AI systems integrating advanced workflows like HITL and guardrails.
Capable of making architectural decisions balancing deterministic logic and LLM-driven judgment under enterprise constraints.
Comfortable working in complex AI ecosystems involving vector DBs, cloud services, and platform integrations such as Microsoft Graph API and Salesforce.