Senior AI Infrastructure Engineer
Interactive Process Technology LLC
AI Infrastructure Engineer Redstone Arsenal/Huntsville, AL At IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical solutions that actually make a difference. Whether it's a government or business organization, we focus on understanding the need and building something that works. Our Team At IPTA, everything starts with our people. We're big believers that when you invest in your team, great things happen. That's why we encourage learning, growth, and trying new things-even if you don't have all the answers yet. Our culture is rooted in fierce determination, fearless integrity, and passionate service-but we also like to keep things collaborative, supportive, and down-to-earth. We're looking for people who: Are curious and excited about technology Like solving problems and figuring things out Can take initiative but also enjoy working with a team Want to keep learning, growing, and challenging themselves If you're someone who's eager to jump in, learn something new, and make an impact-you'll fit right in here. Job Description IPTA is seeking a driven, detail-oriented AI Engineer to join our team! In this role you will get to provide technical support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help develop practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure. The ideal candidate is willing and able to explore new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem. Responsibilities Include, But Are Not Limited To Provide support to teams developing or assessing AI-enabled applications and tools. Advise on technical approaches for AI application design, prototyping, integration, and evaluation. Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. Support the review of architectures, development approaches, model usage patterns, and technical risk areas. Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration. Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders. Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation. Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant. Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices. Job Requirements and Qualifications: Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field 10 years of Enterprise IT experience Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools. Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. Experience with software development fundamentals, APIs, data handling, and system integration. Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders. Strong written and verbal communication skills. Active Security Clearance Required. Desired Qualifications
- Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.
- Exposure to model hosting, inference pipelines, or cloud-based AI development environments.
- Understanding of secure AI development practices, data protection, and operational constraints in government settings.
- Experience supporting defense, cyber, intelligence, or mission application development.
- Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies.
- Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.
- Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.
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