Senior Genai Agentic Ai Engineer Inspironlabs Bengaluru
Building AI dev tools and multi-agent systems (agentic AI); focused on production-grade GenAI and integrations rather than frontend 'vibe coding'.
About the Role
Senior GenAI / Agentic AI Engineer responsible for designing, developing, and deploying production-grade generative AI and multi-agent solutions. The role focuses on building scalable RAG pipelines, multi-agent architectures, backend services/APIs, and integrating AI systems with enterprise platforms for secure, observable production deployments.
Job Description
Role
Senior GenAI / Agentic AI Engineer responsible for building and deploying production-grade generative AI and agentic systems. The engineer will design multi-agent architectures, RAG pipelines, and scalable backend services while integrating AI capabilities with enterprise systems and ensuring secure, observable deployments.
Key Responsibilities
- Design, develop, and deploy production-grade GenAI and agentic AI solutions using LLMs and modern agentic frameworks.
- Build and optimize RAG pipelines, including document processing, retrieval strategies, vector databases, and context management.
- Design and implement multi-agent architectures with tool use, memory, planning, guardrails, and observability.
- Develop scalable backend services and APIs using Python, FastAPI, and asynchronous programming.
- Integrate AI solutions with enterprise platforms (e.g., Graph API, Power Automate, Salesforce) and manage secure credential patterns.
- Evaluate, monitor, and improve LLM performance through prompt engineering, LLM evaluations, and HITL workflows.
- Deploy and operate AI systems on cloud platforms with secure, managed-identity patterns and observability.
Requirements
- Proven experience delivering real-world, production-grade GenAI/Agentic AI solutions (beyond POCs).
- Hands-on experience with LLMs and production deployments (OpenAI, Anthropic, Azure OpenAI).
- Experience with agentic AI frameworks such as LangGraph, LangChain, AutoGen, CrewAI.
- Strong Python development skills and experience with FastAPI and asynchronous programming.
- Experience building RAG pipelines and using vector databases (FAISS, Pinecone, pgvector).
- Expertise in prompt engineering, LLM evaluations, and HITL workflows.
- Cloud deployment experience on Azure, AWS, and/or GCP and knowledge of secure credential/managed identity patterns.
- Experience integrating with enterprise systems (Graph API, Power Automate, Salesforce).
Qualifications
- Bachelor’s or Master’s degree in Computer Science, IT, or equivalent practical experience.
- Experience level indicated: 6–12 years.
Job Details
- Title: Senior Agentic AI Engineer / Senior GenAI Engineer
- Employment type: Contract or Full Time
- Locations listed: Bengaluru, Gurugram, Mumbai