Gen AI Engineer – Agentic AI

About the role

Enterprise-grade Agentic AI solutions.

Tasks

• Design and develop enterprise-grade GenAI applications using Python.
• Build intelligent agents using LangChain and LangGraph.
• Develop RAG pipelines and integrate enterprise data sources.
• Implement multi-agent workflows and tool integrations.
• Build scalable APIs, microservices, and event-driven solutions.
• Implement CI/CD pipelines and automated testing.
• Evaluate LLM outputs, accuracy, and agent performance.
• Ensure secure, scalable, and production-ready AI solutions.

Requirements

• 8–10 Years
• Any Visa
• Strong Python development (Async Programming, APIs & Microservices)
• Generative AI, LLMs & Prompt Engineering
• LangChain / LangGraph
• Agentic AI & Multi-Agent Systems
• RAG & Vector Databases
• LLM Tool Calling / Function Calling
• AI Workflow Orchestration
• CI/CD & Automated Testing
• LLM Evaluation & Monitoring
• Cloud-Native & Event-Driven Architecture
• Enterprise AI Security & Governance
• Preferred: Microsoft Copilot Studio & Power Platform
• Preferred: Custom AI Agents & Connectors
• Preferred: LLMOps / MLOps
• Preferred: Agent Observability & Evaluation Frameworks
• Preferred: AI Governance & Policy Engines
• Preferred: Knowledge Graphs & Graph-Based Reasoning
• Preferred: Financial Services / Healthcare Domain Experience

Schedule

• 100% Onsite
• Contract

How to apply

• Share your updated resume via LinkedIn DM or email.

Location

• Charlotte, NC