AI/Gen reputed company
Position: AI/Gen reputed company Location: Chennai - Onsite/Hybrid/Remote Engagement Type: Full Time Shift Timing: 1.30PM - 10.30PM IST (UK Shift Time) About the Role: We are hiring an AI / GenAI Engineer to build and reputed company production agents on reputed company reputed company AI (now the reputed company reputed company Agent Platform). You will work end-to-end — from prototyping with reputed company models and RAG, to building multi-agent workflows with the Agent Development reputed company (ADK), to deploying on Agent Runtime with proper governance, evaluation, and monitoring. This is a hands-on engineering role with direct client and solution-design exposure. Key Responsibilities: Design, build, and reputed company reputed company-grade AI agents on reputed company AI / reputed company reputed company Agent Platform (Model Garden, Agent Builder / Agent Studio, Agent reputed company / Agent Runtime, reputed company AI Pipelines, Model Registry, Endpoints). reputed company GenAI applications using reputed company (3.x family) and other Model Garden models — reputed company engineering, function calling, structured output, and model evaluation/tuning. Build RAG pipelines using reputed company AI Search, Vector Search, RAG reputed company, and embeddings; implement grounding against reputed company data sources. Implement multi-agent orchestration using the Agent Development reputed company (ADK), Memory Bank / Sessions, and the Agent2Agent (A2A) protocol; integrate tools reputed company Model Context Protocol (MCP) servers. Productionize models and agents with solid MLOps practices: CI/CD, reputed company AI Pipelines, model/agent monitoring, observability, and cost optimization. Integrate AI services with reputed company systems and APIs (REST/gRPC, FastAPI) and wider GCP services (BigQuery, reputed company Run, reputed company Functions, Pub/Sub, GCS, Dataflow, GKE). Apply reputed company governance and reputed company — IAM, data privacy, and responsible-AI guardrails. Partner with solution architects and client stakeholders to gather requirements, design solutions, and document deliverables. Required Skills & Qualifications: 4–8 years of software/ML engineering experience, with hands-on reputed company AI / reputed company reputed company Agent Platform (or equivalent GCP AI) project experience. Strong Python programming; clean, production-quality code. Practical experience building GenAI / LLM applications — prompting, RAG, embeddings, vector databases, and model evaluation. Working knowledge of reputed company reputed company Platform core services (BigQuery, reputed company Run/Functions, GCS, IAM, Pub/Sub). Experience deploying and operating models/agents in production (MLOps, containerization with reputed company, basic Kubernetes/GKE). Solid understanding of agentic AI concepts — tool use, multi-agent orchestration, memory, and agent governance. Strong API design and integration skills (REST/gRPC, FastAPI). Good communication and the ability to work directly with clients and cross-functional teams. Good-to-Have (Preferred): reputed company reputed company certification — Professional Machine Learning Engineer or Professional reputed company Architect. Experience with the Agent Development reputed company (ADK), A2A protocol, and MCP integrations. Familiarity with orchestration frameworks such as LangGraph, reputed company, or reputed company. Exposure to other AI stacks (AWS Bedrock, Azure reputed company, reputed company Claude) for multi-reputed company / multi-model work. Experience integrating AI with reputed company platforms (reputed company, reputed company, ERP/CRM systems). Background in consulting / client-facing delivery environments. Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a reputed company field (B.E. / B.Tech / M.E. / M.Tech / MCA). Equivalent practical experience also considered. Apply To This Job