Important Note (Please Read Before Applying)
Do NOT apply if :
- You have less than 3 or more than 7 years of hands-on AI / ML experience
- You do not have real-world exposure to agentic frameworks (LangGraph / AutoGen / CrewAI)
- You lack experience with cloud GenAI services (AWS / Azure / GCP)
- You do not have practical experience with RAG pipelines or LLM-based systems
- You cannot join within 0–45 days
- You do not have strong Python skills
✅ Apply ONLY if you meet ALL mandatory criteria. Irrelevant / blanket applications will NOT be processed.
Job Title : AI Developer – Agentic / GenAI
Location : Bangalore, Chennai, Hyderabad, Pune
Experience : 3–7 Years
Employment Type : Permanent
Notice Period : Immediate to 45 Days
About the Company :
Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.
Job Description :
Build and deploy agentic applications using LLMs and advanced GenAI / AI frameworksDevelop MCP-compatible servers and integrate agents with enterprise platforms (ERP / CRM / HCM)Implement RAG pipelines, LLM orchestration, autonomous workflows, and multi-agent systemsFine-tune LLMs, optimize agent behavior, and improve response consistencyDesign and execute agent evaluation pipelines , scoring logic, and debugging workflowsPerform functional, regression, and adversarial testing for agent reliabilityImplement observability, monitoring dashboards, and feedback loopsCollaborate with product managers, data scientists, architects, and business stakeholdersParticipate in demos, solution walkthroughs, and stakeholder interactionsMandatory Skills :
Strong proficiency in Python for backend, AI, and agentic developmentHands-on experience with agent frameworks : LangGraph, AutoGen, CrewAI, or similarExperience with cloud GenAI platforms :AWS (Bedrock, Lambda, Cognito, SageMaker, Inferentia)or Azure (Azure OpenAI)or Google Vertex AIStrong understanding of RAG pipelines, LLM orchestration, autonomous agentsExperience with vector DBs, graph DBs, ingestion pipelinesContainerization & deployment skills : Docker, Kubernetes, CI / CDExperience integrating agents with MCP servers, APIs, enterprise data systemsKnowledge of responsible AI , GDPR, CCPA, bias mitigation & explainabilityExperience designing evaluation frameworks , scoring functions & debugging toolsPreferred Skills :
AI / ML certifications from AWS / Azure / Google CloudExposure to multi-cloud AI architecturesExperience with observability stacks (Prometheus, Grafana, Kibana)