Artificial Intelligence Engineer

Mobius•Huntsville, AL

2d•Onsite

About The Position

Mobius is an award winning, Small Business Administration (SBA) certified Historically Underutilized Business Zone (HUBZone) company and certified Woman-Owned Small Business (WOSB) providing engineering, analytical, and programmatic expertise to the Federal Government and commercial customers. Our mission is to provide innovative advanced technology solutions to customers facing issues of national and global significance. We strive to be admired for excellent people, fair and honest partnership, innovative problem solving, and exceptional performance. Come join our team! Mobius is seeking a AI Engineer. 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 right candidate is a builder at heart—someone who explores 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 because they genuinely enjoy it, not just because the job requires it. This position is located in Huntsville, AL.

Requirements

12+ years of relevant 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.
Ability to obtain a TS SCI clearance required
Active Secret clearance required

Nice To Haves

Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.
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.

Responsibilities

Support government led teams in the design, evaluation, and practical application of AI-enabled tools, workflows, and mission-focused capabilities
Provide technical insight across the AI engineering lifecycle, including application design, prototyping, integration, test, evaluation, and operational assessment.
Assess solutions involving large language models, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses, while helping government stakeholders understand technical tradeoffs, risks, and opportunities
Review architectures, development approaches, model usage patterns, data flows, and integration strategies to ensure solutions are reliable, observable, testable, secure, and aligned with mission needs
Evaluate emerging AI frameworks, agentic libraries, and experimentation tools; contribute to prototypes, technical guidance, engineering recommendations, and briefings; and support performance assessments, qualitative reviews, and workflow validation activities.
Collaborate with platform engineers, product leads, mission users, and government leadership to keep AI efforts technically grounded, operationally relevant, and responsive to the rapidly evolving AI ecosystem