Agentic AI developers

Key Responsibilities

Agentic AI Development

·       Design and develop LLM-based AI agents capable of reasoning, planning, and task execution

·        Build and manage multi-agent orchestration workflows

·        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

Required Skills and Qualifications

Experience

·        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)