Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Gen AI Developer Associate at HEXAWARE

, , India -

Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI Frameworks, LangChain, LangGraph, Model Context Protocol, Vector Databases, RAG Pipelines, Azure AI, AWS Bedrock, Google Vertex AI, Tool Calling, Function Calling, Containerization, LLM Orchestration, Multi-agent Systems, Python, API Integration

Industry

IT Services and IT Consulting

Description

Job Description We are seeking a hands‑on AI Engineer to build, and deploy agentic AI solutions, including tool‑using LLM agents, autonomous workflows, and multi‑agent systems. The candidate should have strong engineering fundamentals, practical experience with LLM‑based development, and a solid understanding of integrating agents with enterprise systems via APIs, RAG pipelines, vector databases, orchestration frameworks, and the Model Context Protocol (MCP). Candidate will collaborate with AI Architect/s, Vertical teams, and domain experts to translate business problems into scalable, production-ready AI automations. The role involves implementing, and operating stateful, multi-agent systems using LangChain and LangGraph, fully integrated within the Azure AI and multi-cloud ecosystem under strict enterprise governance. Must have skills: Agentic AI Frameworks & Platforms - Experience with modern agentic and orchestration frameworks such as: - LangChain, LangGraph, Microsoft Foundry - Databricks AI/BI Genie, Mosaic AI Agent Framework - Snowflake Cortex AI - AWS Bedrock AgentCore - Google Vertex AI Agent Builder, Google ADK - Other comparable Agentic AI frameworks and services Hands-on expertise in: - MCP (Model Context Protocol), A2A (Agent-to-Agent) workflows, Swarm agent architecture pattern - Vector Databases, Vector Search, Embeddings - Long-Term & Short-Term Memory integration - Tool Calling & Function Calling pipelines - LLM integration, tuning, and orchestration - Logging & tracing for agent actions - Containerize and deploy solutions on cloud environments (Azure / AWS / GCP) Good to have skills: - Deep understanding of machine learning, deep learning, Agentic AI Architectures - Knowledge of data governance, security, and compliance in cloud environments

Responsibilities

Build and deploy agentic AI solutions, including autonomous workflows and multi-agent systems, integrated with enterprise systems. Collaborate with architects and domain experts to translate business problems into scalable, production-ready AI automations.