AI Engineer

Avion Solutions

$100K — $130K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field with 12+ years of relevant experience.
  • Experience with AI/ML-enabled applications or software tools development and evaluation.
  • Familiarity with modern AI patterns such as LLMs, RAG, and agentic systems.
  • Proficient in software development fundamentals, including APIs and system integration.
  • Ability to assess technical trade-offs and communicate them to diverse stakeholders.
  • Strong written and verbal communication skills.
  • U.S. citizenship and capability to obtain/mantain a DoW security clearance.

Responsibilities

  • Provide SETA support to government teams for AI applications.
  • Advise on design, prototyping, integration, and evaluation of AI applications.
  • Assess solutions related to advanced AI methods and architectures.
  • Review architectures, development approaches, and identify technical risks.
  • Advise on AI engineering considerations like latency and reliability.
  • Evaluate modern AI frameworks and tools for mission use cases.
  • Collaborate with various teams to ensure the relevance of AI initiatives.
  • Stay updated on AI ecosystem changes and provide recommendations.

Benefits

  • Opportunity to work on cutting-edge AI technologies in a government setting.
  • Potential to influence AI application development for defense and intelligence sectors.
  • Engagement with a interdisciplinary team including engineers and government leaders.
  • Professional development opportunities in emerging AI practices.
Full Job Description
AI Engineer to support MDA. This position is located in Huntsville, AL.

Job Responsibilities/Duties:
  • Provide SETA support to government 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.
  • Other duties as assigned.


Required Experience:
  • Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field and 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.
  • Must be a U.S. citizen and have the ability to obtain/maintain a DoW security clearance.
  • Must be able to travel up to 15% of the time.


Preferred Qualifications:
  • 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.

Locations Huntsville, AL

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