Uses Agentic AI frameworks and LLMs for autonomous agents and RAG workflows — good fit for rapid prototyping and agentic/AI-driven dev work.
About the Role
Design, develop, and deploy generative and agentic AI solutions for enterprise use cases, focusing on multi-agent systems, MCP integrations, RAG, and LLM-based workflows. Collaborate with ML, data, and product teams to build scalable, production-ready AI services and backend APIs using Python and AWS.
Job Description
Role
Gen AI Agentic AI Engineer responsible for designing, developing, and deploying Generative AI and Agentic AI solutions for enterprise customers. The role emphasizes building multi-agent systems, MCP integrations, RAG solutions, and production-grade AI services.
Key Responsibilities
- Design, develop, and deploy Generative AI and Agentic AI solutions for enterprise use cases.
- Build intelligent multi-agent systems using frameworks such as LangGraph, CrewAI, or AutoGen.
- Implement and manage Agentic AI workflows for autonomous decision-making and task orchestration.
- Develop MCP-based integrations to enable communication between AI agents, applications, and enterprise systems.
- Build and optimize Retrieval-Augmented Generation (RAG) solutions using Large Language Models (LLMs).
- Design prompts, workflows, and orchestration strategies to improve model performance and business outcomes.
- Develop scalable backend services and APIs using Python and integrate AI solutions with enterprise applications, databases, and cloud platforms.
- Deploy and manage AI workloads in AWS and monitor, troubleshoot, and optimize production AI systems for performance, scalability, and reliability.
- Participate in technical discussions, architecture and code reviews, and maintain technical documentation and implementation guidelines.
Requirements
- 6 to 10 years of experience in software development, Machine Learning, and AI solutions.
- Minimum 3 years hands-on experience in Generative AI application development and at least 6 months practical experience with Agentic AI frameworks and multi-agent systems.
- Hands-on experience with LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks.
- Experience with MCP (Model Context Protocol) and agent communication frameworks.
- Strong proficiency in Python for AI application development and backend engineering.
- Experience working with Large Language Models (LLMs), RAG, prompt engineering, and AI orchestration techniques.
- Familiarity with AWS cloud services, deploying AI workloads, and production support practices.
- Experience with Git, software architecture, APIs, microservices, and distributed systems.
- Strong analytical, debugging, problem-solving, and communication skills; experience working in Agile environments.
Benefits
- Competitive salary and benefits package
- Quarterly growth opportunities and company-sponsored higher education and certifications
- Employee engagement initiatives (project parties), flexible work hours, Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
- Values-driven, people-centric and inclusive work environment
- Support for hybrid work, flexible hours, accessibility-friendly office with ergonomic setups and assistive technologies
Location & Employment Type
- Location: Pune
- Employment Type: Full-Time
- Experience: 6 to 10 Years