Agentic AI developers
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Role details
Tech stack
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Job description
· Enable agents to interact with enterprise systems (APIs, databases, tools) Java & Backend Engineering · Develop scalable backend applications using Java, Spring Boot, and Microservices · Build REST APIs to support AI-driven workflows and integrations · Ensure performance, scalability, and maintainability of services GCP & GenAI Implementation · Develop AI solutions using Vertex AI, Gemini, BigQuery, Cloud Run, and Pub/Sub · Work with Vertex AI Agent Builder and Google ADK for agent development LLM, RAG & Context Engineering · Implement Retrieval-Augmented Generation (RAG) pipelines · Build context-aware systems using vector search and embeddings · Optimize prompts and workflows for performance and cost MLOps & Deployment · Deploy and monitor AI models and agents in production · Implement CI/CD pipelines, logging, and observability · Ensure reliability, safety, and guardrails for AI systems
Requirements
· 3-7 years of software development experience · Strong hands on experience in Python · 2 years experience building and deploying real world agents in Production environment · Strong hands-on experience in Java backend development (4 years exp) · Hands of experience in developing AI/ML or Generative AI projects Core Technical Skills · Hands on experience on Google ADK, MCP servers, agent to agent communication, agent orchestration. · Java (4 ), Spring Boot, Microservices · REST APIs and distributed systems design · Hands on experience on Python, LLMs, GenAI, and agent-based systems · Hands on experience with GCP services (Vertex AI preferred)
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