Autonomous AI Agent Engineer (Hybrid • Multi-Cloud)

Integral Consulting Services; Tysons (VA); Hybrid; USD 90,000 - 175,000; Full time

Job summary

Integral Federal is seeking a curious Agentic Engineer to design, build, and deploy autonomous AI agents and LLM-powered applications across AWS, Google Cloud, and Microsoft Azure. Hybrid work in Tysons Corner, VA, with no degree requirement.

You will translate complex problems into production-ready code, implement MCP for tool integration, and work with engineers to ensure reliable, observable systems across multi-cloud environments.

Qualifications

• Proof of Capability via personal projects, GitHub, or OSS contributions.
• Hands-on experience with LLM APIs and building agent loops.
• Familiarity with or desire to master MCP for tool integration.
• Experience deploying apps on AWS, GCP, or Azure.
• Insatiable curiosity and grit to troubleshoot novel problems.

Responsibilities

• Design and build autonomous AI agents using LLMs and orchestration frameworks.
• Implement MCP to connect models with external tools, APIs, and data sources.
• Develop evaluation pipelines and LL M observability to avoid hallucinations and loops.
• Deploy AI solutions across multi-cloud environments (AWS, GCP, Azure).
• Translate complex problems into production-ready code.
• Stay current with AI tools, papers, and open-source projects.
• Collaborate with engineers to securely integrate agentic workflows.

Skills

Proof of Capability

LLM & Agent Experience

MCP Protocol Knowledge

Cloud Fluency

Builder’s Mindset

Job description

Integral Federal is seeking a curious Agentic Engineer to design, build, and deploy autonomous AI agents and LLM-powered applications across AWS, Google Cloud, and Microsoft Azure. Hybrid work in Tysons Corner, VA, with no degree requirement.

You will translate complex problems into production-ready code, implement MCP for tool integration, and work with engineers to ensure reliable, observable systems across multi-cloud environments.