Gen AI Engineer

About the role

Develop and implement enterprise-grade Agentic AI solutions.

Tasks

• Design, develop, and implement enterprise-grade Agentic AI applications using Python.
• Build intelligent AI agents using LangChain and LangGraph.
• Develop RAG-based solutions and integrate LLMs with enterprise data sources.
• Implement function calling, tool integration, and agent orchestration workflows.

Requirements

• Experience: 8–10 Years
• Visa: Any Visa
• Strong Python Development – Async Programming, APIs, and Services
• Generative AI and Large Language Models (LLMs)
• LangChain and/or LangGraph
• Agentic AI Systems and Multi-Agent Workflows
• Retrieval-Augmented Generation (RAG)
• LLM Tool Calling / Function Calling
• LLM Orchestration and Workflow Automation
• CI/CD Pipelines for AI/ML Applications
• LLM Output Testing and Agent Behavior Evaluation
• Microservices and REST API Development
• Event-Driven Architecture and Cloud-Native Design
• Enterprise AI Architecture and Governance
• Preferred: Microsoft Copilot Studio and Power Platform; Copilot Studio Custom Agents and Connectors; LLMOps / AI Ops Practices; Agent Observability and Evaluation Frameworks; AI Policy Engines and Governance; Knowledge Graphs and Graph-Based Reasoning; Experience in Financial Services, Healthcare, or Regulated Environments

Schedule

• 100% Onsite
• Contract

Location

• Charlotte, NC