Artificial Intelligence Engineer

Mobius•Huntsville, AL

2h•Onsite

About The Position

Mobius is seeking an AI Engineer to provide technical support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is 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 a builder who explores new frameworks, prototypes ideas, and continuously learns emerging techniques. Curiosity and passion for the fast-moving AI ecosystem are highly valued.

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.
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.