Senior Genai Agentic Ai Engineer Inspironlabs Gurugram
About the Role
Senior GenAI / Agentic AI Engineer responsible for designing, building, and deploying production-grade GenAI and multi-agent systems. The role focuses on RAG pipelines, vector databases, scalable backend services, enterprise integrations, and cloud deployments.
Building AI dev tools and multi-agent systems with GenAI and agentic frameworks; focused on production-grade deployments rather than prototyping.
Location: Gurugram
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 building production-grade GenAI and agentic AI solutions. The engineer will design and implement multi-agent architectures, retrieval-augmented generation (RAG) pipelines, and scalable backend services that integrate with enterprise systems.
Key Responsibilities
- Design, develop, and deploy production-grade GenAI and agentic AI solutions using LLMs and 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 models.
- Integrate AI solutions with enterprise platforms (e.g., Graph API, Power Automate, Salesforce) and manage secure credentialing and identity patterns.
- Evaluate, monitor, and improve LLM performance through prompt engineering, LLM evaluations, HITL workflows, and observability practices.
- Deploy and secure cloud-based AI solutions on major cloud providers.
Required Skills & Technologies
- Production-grade LLM usage: OpenAI, Anthropic, Azure OpenAI
- Agentic AI frameworks: LangGraph, LangChain, AutoGen, CrewAI
- Backend development: Python, FastAPI, async programming
- RAG and vector databases: FAISS, Pinecone, pgvector
- Prompt engineering, LLM evaluations, and HITL workflows
- Cloud deployment experience: Azure, AWS, GCP
- Enterprise integrations: Graph API, Power Automate, Salesforce
- Secure credential management and managed identity enterprise patterns
Qualifications & Experience
- Bachelor’s or Master’s in Computer Science/IT or equivalent practical experience.
- Proven track record delivering real-world, production-grade GenAI/Agentic AI solutions (not just proofs of concept).
- Experience level indicated: 6–12 years.
Location & Employment Type
- Job locations: Bengaluru, Gurugram, Mumbai (India).
- Job type: Contract or Full Time.
Notes
- Applicants should verify current role details on the company’s site; posting aggregated from an external source.
Tech Stack
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 Evaluation, HITL Workflows, Asynchronous Programming, API Development, Scalable Backend Development, System Design, Retrieval-Augmented Generation (RAG), Vector Search/Databases, Multi-agent Architecture, Enterprise Integration, Cloud Deployment, Observability, Security and Credential Management