AI Engineer
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AI Engineer
Location
Huntsville, AL 35806, USA
Experience
Senior
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeWork from Office
Job Description
**AI Engineer**
**Company Overview:**
**KODA is a people-first company** and a three-time *Fortune Best Workplace®*, *Great Place to Work®* certified, a *Best Place for Working Parents®*, and a seven-time *Huntsville* *Best Places to Work®* winner.
We're a small business making a big impact on national-priority missions in **missile defense, hypersonics, DoD space, and civil space**. At KODA, you'll find:
- Competitive pay & great benefits
- Career growth & professional development
- A culture of trust, integrity, and teamwork
The name **KODA**, meaning *"allies,"* reflects our commitment to our people, our customers, and our community. Join us and build a career that matters!
**Position Overview:**
KODA Technologies 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 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.
**Responsibilities:**
- 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.
**Requirments:**
- Masters degree in Computer Science, Engineering, Data Science, Mathematics, or related field and 12+ years of relevant experience
- Active Secret clearance required
- 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.
**Preferred Requirements:**
- 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.
**Clearance:**U.S. Citizenship and an Active Secret Clearance with the ability to obtain a TS SCI clearance required
*KODA Technologies Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, gender identity, sexual orientation, pregnancy, status as a parent, national origin, disability (physical or mental), family medical history or genetic information, political affiliation, military service, or other non-merit based factors. If you are unable to complete this application due to a disability, contact info@kodatech.com to ask for an accommodation or an alternative application process.*
Key Responsibilities
- Provide technical support to government teams developing AI-enabled applications.
- Advise on technical approaches for AI application design, prototyping, and integration.
- Assess solutions involving LLMs, RAG, agentic workflows, and orchestration layers.
- Support review of architectures, model usage patterns, and technical risks.
- Advise on AI engineering considerations such as latency, reliability, and guardrails.
- Evaluate modern AI frameworks and agentic libraries for mission suitability.
- Develop technical guidance, prototypes, and engineering recommendations.
- Support test and evaluation activities for AI tools.
- Collaborate with platform engineers and government leadership.
- Stay current on AI ecosystem changes and provide recommendations.
Requirements
- Master's degree in Computer Science
- Engineering
- Data Science
- Mathematics
- or related field
Skills Required
AI/ML application designLLM-based applicationsRAGPrompt engineeringAgentic systemsAI-assisted workflowsSoftware development fundamentalsAPIsData handlingSystem integrationCommunicationProblem solvingCuriosityAdaptabilityPythonJavaScriptTypeScriptVector databasesEmbeddingsModel APIsEvaluation frameworksAgent testing harnessesModel hostingInference pipelinesCloud-based AI development environmentsSecure AI development practicesData protectionHuman-in-the-loop workflowsAI assuranceEvaluation methodologiesLangChainLangGraphSemantic KernelAutoGenCrewAIHaystackLlamaIndex
Benefits
- Competitive pay
- Comprehensive benefits
- Career growth
- Professional development
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