AI Application & Integration Engineer

PeopleTec, Inc.•Huntsville, AL

About The Position

PeopleTec is currently seeking an AI Application & Integration Engineer to support our Huntsville, AL location. PeopleTec is seeking an AI Application & Integration Engineer to support the development and deployment of an AI-powered training ecosystem serving DoW customers. This engineer will work directly with analysts, subject matter experts, and program leadership to build and maintain the full application stack, from FastAPI services and front-end UX flows to Azure-hosted AI pipelines and RAG-based document intelligence. A strong emphasis is placed on hands-on Python and cloud integration experience, as these are essential for building reliable ingestion pipelines, wiring generative AI capabilities into production interfaces, and maintaining the developer tooling that keeps the team moving. The selected candidate will own features end-to-end, bridging the application layer and the AI backend without requiring a large team around them.

Requirements

3+ years of hands-on experience building production Python/FastAPI or equivalent backend services
Active Secret security clearance (U.S. citizenship required)
Demonstrated experience integrating Azure AI services (Azure OpenAI, Cognitive Search, Form Recognizer, Application Insights, or equivalents)
Proficiency with RAG architectures: chunking strategies, vector embeddings, retrieval tuning, and LLM answer generation
Experience with OIDC/OAuth2 authentication flows, including CAC/PIV or equivalent certificate-based auth patterns
Front-end development skills sufficient to build and maintain functional, analyst-facing UIs
Comfortable in containerized development environments (Docker, devcontainers)
Understanding of RMF, ATO, and cybersecurity compliance processes within the DoD
Must be a U.S. Citizen
An active DoD Secret clearance is required to perform this work. Candidates are required to have an active Secret clearance or the ability to obtain one, as well as to maintain this level of clearance during their employment.
Bachelor’s degree (BA/BS) with 3+ years of relevant experience, or 7+ years of relevant experience in lieu of a degree.

Nice To Haves

Active Secret clearance or eligibility
Experience working within DoD IT environments, Azure Government Cloud, or on programs with ATO requirements
Familiarity with Palantir Foundry, AIP agents, or similar defense-context data/AI platforms
Experience with prompt engineering, safe-mode wrappers, or PII/PHI redaction in regulated environments
Prior work on VTE.mil, NIPR/SIPR web applications, or Army Aviation training systems
Experience writing or contributing to ATO packages, RMF artifacts, or STIG compliance documentation
Background in DevSecOps or secure cloud-native application development

Responsibilities

Design, implement, and maintain FastAPI endpoints and background jobs: file upload/processing, search/query, webhook handlers, and long-running task management
Build and maintain the front-end application: multi-page UX flows, upload modals, client-side validation, and fallbacks for async operations
Implement and maintain OIDC PKCE / OAuth2 flows for CAC authentication, session management, and secure credential handling
Apply application-layer security controls: CORS, CSRF protections, content security policies, secure cookies, and session rotation
Build document ingestion pipelines for PDFs, Office files, images, and HTML: text extraction, OCR, chunking, and deduplication tuned for LLM token budgets
Implement embedding workflows (batch and incremental) and manage vector storage via Azure Cognitive Search, Chroma, or FAISS with Azure Blob backing
Implement RAG orchestration: retriever → ranker → LLM reader, with verifiable citations and configurable answer policies
Integrate Azure OpenAI Service and other Azure-hosted LLMs; provide adapter layers enabling provider switching with minimal code changes
Create prompt libraries and safe-mode wrappers for SOP extraction, procedure QA, summarization, and PII/PHI redaction per DoD data handling requirements
Integrate app endpoints with Palantir Foundry, AIP agents, and Azure AI Services; handle eventual consistency, retries, and error recovery
Instrument telemetry to Azure Application Insights / Log Analytics; configure alerts for hallucination spikes, latency regressions, and error rates
Ship and maintain local dev tooling (docker-compose / devcontainer) for developer parity with production environments
Contribute to ATO documentation, data flow diagrams, and security review artifacts as needed
Participate in program reviews, sprint demos, and government customer demonstrations as a technical representative