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Principal / Senior AI Software Engineer

Entegee — United States · Posted ~3 hours ago

Lead Full-time Onsite No Visa

Skills

Python AI engineering deep learning LLMs SLMs LLM orchestration retrieval tool calling model evaluation MCP servers TensorFlow Keras FastAPI Flask Django LangChain Haystack MCP Go Rust TypeScript

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Summary ✨ AI‑Generated

Join an advanced AI engineering team building production-grade systems around small and large language models. You will develop Python-based AI services, deploy open-weight models on self-managed infrastructure, build retrieval and tool-calling workflows, integrate agent-to-system connectors, and evaluate AI systems for real-world use.

Highlights

Advanced AI engineering role focused on production LLM and SLM systems, agentic tooling, retrieval, orchestration, and model evaluation. The position offers technically challenging work with modern AI infrastructure and opportunities to contribute to production-grade developer and AI tooling.

Description

ONSITE Principal / Sr. AI Software Engineer in either Dallas/Fort Worth, TX; Merrimack, NH; or Roanoke VA ***MUST have a U.S. Citizenship to work for the U.S. DoD*** Preferred industry exp: Aerospace, Avionics, DoD, Federal Programs REQUIREMENTS: Ph.D., MSCS, or BSCS work 5-8+ years of AI Engineering experienceStrong Python coding & Python/Deep Learning Frameworks (Flask, Django, FastAPI, TensorFlow, Keras)plus one of GoLang, RUST, or TypeScript.Production experience deploying and operating open-weight models on self-managed infrastructure.Experience building AI/ML coding or developer tooling on SLM and LLMs (LangChain, Haystack) including code retrieval, context handling, and toolchain integration.Applied experience with LLM orchestration, retrieval, tool calling, and evaluation.Model Complex Protocol (MCP) servers, tool-calling integrations, or equivalent agent-to-system connectors delivered toproduction users.Open source contributions or published work in the agent, MCP, or open-weight model ecosystem.Systems integration depth across APIs, event streams, data pipelines, and identity.Track record of delivering complex technical work to production without close supervision. HIGHLY PREFERRED: Industry experience in the Aerospace, DoD, intelligence community, or Federal Programs.Authorization processes, accredited or air-gapped environments, and sovereign modeldeployment for mission users are of particular interest.Fine-tuning, distillation, or model adaptation with measurable results.