Senior AI / Backend Engineer

Company: ARETEC

Location: United States (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-08-13

About this role

Us

At Aretec, Inc., we are catalysts for change within the federal government landscape. Specializing in advanced analytics, machine learning, data analysis, cybersecurity, and business optimization, we empower federal agencies to achieve their most critical missions. As a premier partner and prime vendor, we deliver innovative, high-impact solutions that address complex challenges and drive national progress. Our commitment to excellence and innovation positions us at the forefront of transforming governmental operations, enhancing efficiency, and making a lasting difference in the lives of citizens.

You

You are a thoughtful, collaborative technology professional who turns complex challenges into practical, secure, and maintainable solutions. You work comfortably with engineers, product stakeholders, and federal partners; communicate clearly; and balance delivery speed with quality, traceability, and responsible use of AI. You are energized by mission-driven work and eager to contribute within an established team that values sound judgment and continuous improvement.

What We are Looking For

Aretec is seeking a Senior AI / Backend Engineer to build the intelligent services behind a greenfield AI solution. You will develop Python services, LLM integrations, retrieval pipelines, agent workflows, APIs, guardrails, and automated evaluations that produce useful, well-grounded results with clear references to supporting source material.

Key Responsibilities

  • Design and develop Python backend services and APIs for the greenfield AI solution.
  • Integrate large language models and build retrieval-augmented generation pipelines over approved enterprise data sources.
  • Implement agent orchestration and reusable prompt-framework components.
  • Build retrieval, ranking, context-assembly, and citation mechanisms that tie summaries and findings to supporting documents.
  • Develop guardrails that constrain unsupported assumptions, overly prescriptive outputs, ...

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