Software Developer With AI

Role: full Stack AI developers

Location: Irving (TX), (Hybrid)

Duration: Long term Project

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

Google Cloud Platform & 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+ year’s 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, Micro services

·REST APIs and distributed systems design

·Hands on experience on Python, LLMs, GenAI, and agent-based systems

·Hands on experience with Google Cloud Platform services (Vertex AI preferred)