AI Developers (Generative AI & Agentic Systems)

• Experience: 4+ Years

• Location: Chennai

• Notice Period: Immediate

• We are looking for experienced AI Developers to work on advanced Generative AI and agent-based systems . You will be responsible for designing and deploying production-grade AI applications, including multi-agent workflows, integrated with enterprise data systems and cloud infrastructure.

• Key Responsibilities :

• Develop agentic workflows using LangGraph and Google ADK

• Build and integrate AI solutions using Model Context Protocol (MCP)

• Deploy scalable AI services on GCP (Vertex AI, Cloud Run, Cloud Functions)

• Develop REST APIs using Python (FastAPI/Flask)

• Manage data pipelines and embeddings using BigQuery / vector databases

• Optimize LLM performance, latency, and prompt engineering

• Collaborate with product teams, SMEs, and platform stakeholders

• Support deployment, documentation, and production stabilization

• Required Skills :

• Strong experience in Python (FastAPI, async programming)

• Hands-on with LangGraph / LangChain

• Experience with GCP (Vertex AI, Model Garden)

• Knowledge of MCP and AI system integrations

• Experience with Docker / Kubernetes and CI/CD pipelines

• Familiarity with RAG, vector databases (Pinecone, Weaviate, etc.)

• Exposure to Gemini or similar LLMs

• Educational Qualification:

• B.E./M.E. in Computer Science, Information Technology, or related field

Interested candidates, please send your resume to [email protected]

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India Office

• Address: No. 4, Soundarya Nagar, Gowrivakkam, Chennai - 600 073

• Phone: +91 (44) 2278 2028

• Email:

• Working Days/Hours: Mon - Fri / 9:30 AM - 6:30 PM

Canada Office

• Address: 12756 104 Ave, Surrey, BC V3V 3H9, Canada

• Phone: +1 (604) 307-1106

• Email:

• Working Days/Hours: Mon - Fri / 9:00 AM - 5:00 PM

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.