Senior Genai Agentic Ai Engineer Inspironlabs Gurugram

Vibehackers; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Inspironlabs in Gurugram (remote-ready) seeks a Senior GenAI/Agentic AI Engineer to design, build, and deploy production-grade GenAI and multi-agent solutions. You will drive RAG pipelines, vector databases, and scalable backend services that integrate with enterprise platforms.

Responsibilities include orchestrating multi-agent architectures with tool use, memory, planning, guardrails, and observability, plus ensuring secure credentialing and cloud deployment across major providers.

Qualifications

• Bachelor’s or Master’s in Computer Science/IT or equivalent practical experience.
• Proven track record delivering production-grade GenAI/Agentic AI solutions.
• 6–12 years of experience in related roles.

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.
• Integrate AI solutions with enterprise platforms (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.

Skills

Prompt engineering

LLM evaluation

HITL workflows

Asynchronous programming

API development

Scalable backend development

System design

RAG

Vector search/databases

Multi-agent architecture

Enterprise integration

Cloud deployment

Observability

Security and credential management

Education

Bachelor’s or Master’s in Computer Science/IT

Tools

FAISS

Pinecone

pgvector

LangGraph

LangChain

AutoGen

CrewAI

Graph API

Power Automate

Salesforce

Job description

Senior Genai Agentic Ai Engineer Inspironlabs Gurugram

Building AI dev tools and multi-agent systems with GenAI and agentic frameworks; focused on production-grade deployments rather than prototyping.

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.

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

• Agentic AI frameworks: LangGraph, LangChain, AutoGen, CrewAI
• RAG and vector databases: FAISS, Pinecone, pgvector
• Prompt engineering, LLM evaluations, and HITL workflows
• 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 type: Contract or Full Time.

Notes

• Applicants should verify current role details on the company’s site; posting aggregated from an external source.

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