Agentic AI Engineer

Tasks

• Design and develop autonomous and multi-agent AI systems.
• Build agent workflows with planning, reasoning, memory and tool calling.
• Develop enterprise-grade RAG solutions and AI-powered copilots.
• Integrate AI agents with enterprise applications and business workflows.
• Deploy scalable and secure GenAI solutions on AWS.

Requirements

• 7+ years of Software Engineering experience
• 4+ years of hands-on experience with Generative AI, LLMs & RAG
• 2+ years of experience in Agentic AI / Multi-Agent Systems
• AWS Bedrock & AgentCore
• LangGraph & LangChain
• Agentic AI & Multi-Agent Architectures
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• LLMs, Prompt Engineering & AI Evaluation
• Vector Databases, Embeddings & Semantic Search
• AWS Cloud, Terraform & Infrastructure as Code
• GitLab CI/CD Pipelines
• REST APIs, Microservices & React

Schedule

• 4–5 Days Onsite
• Long-Term

Pay

• $60/hr on C2C

How to apply

• Share your updated resume by email.

Location

• Dallas, TX(Onsite)