Senior Genai Agentic Ai Engineer Inspironlabs Bengaluru

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.

Building AI dev tools and multi-agent systems (agentic AI); focused on production-grade GenAI and integrations rather than frontend 'vibe coding'.

Location: Bengaluru

Type: Full Time, Permanent

Posted: 2 days ago

Category: AI/ML & Data

Vibe Markers: 🔥 Hot

Experience Level: Senior

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

Tech Stack

LLMs, OpenAI, Anthropic, Azure OpenAI, LangGraph, LangChain, AutoGen, CrewAI, Python, FastAPI, FAISS, Pinecone, pgvector, Azure, AWS, GCP, Graph API, Power Automate, Salesforce

Skills

Prompt Engineering, LLM Evaluations, HITL workflows, Asynchronous Programming, API Development, Backend Development, Scalable System Design, Retrieval-Augmented Generation (RAG), Vector Search, Multi-agent Architecture, Observability, Enterprise Integration, Cloud Deployment, Secure Credential Management