AI Engineer (Remote)

Looking for PURPOSE? At GovStar, we found it. We love the work we do, the people we do it with, and the impact we have. We’re looking for talented technologists and creatives with the character, courage, and commitment to achieve greatness and grow together.

We’re a tight group of individuals coming together to produce Legendary Teams. We are using technology and creativity to unlock the future of government and shape a brighter future for the country we love.

Discover us @ www.govstar.us

Overview

GovStar seeks a senior AI Engineer to design, build, evaluate, and operationalize secure AI-enabled services for national security use cases. The role will focus on retrieval, prompting, guardrails, orchestration, model evaluation, data-source integration, governance, and production deployment of large-language-model capabilities inside approved government cloud boundaries.

Responsibilities

Responsibilities include, but are not limited to:

• Design and implement AI-enabled services using large language models and approved enterprise AI frameworks.
• Develop retrieval-augmented generation (RAG), prompting, tool-use, orchestration, classification, extraction, summarization, and other model-backed workflows.
• Integrate AI services with approved structured and unstructured data sources in the centralized data platform.
• Develop evaluation frameworks for accuracy, relevance, groundedness, robustness, safety, and mission usefulness.
• Implement guardrails and controls to reduce hallucination, inappropriate disclosure, prompt-injection risk, data leakage, and other AI-specific failure modes.
• Design model governance, traceability, auditing, and human-in-the-loop patterns appropriate for sensitive government use cases.
• Support AI capabilities such as investigative/hotline analysis, natural-language querying, trend and anomaly detection, link analysis, pattern recognition, automated tagging/classification, drafting, eDiscovery support, translation, and transcription.
• Deploy and integrate solutions using approved services such as Azure OpenAI, OpenAI models, commercial LLM providers, and other enterprise AI frameworks where permitted.
• Partner with platform and cloud engineers to productionize AI services using secure CI/CD, IaC, containerization, monitoring, and scalable deployment patterns.
• Support pilot design, data-quality evaluation, AI-output validation, migration of existing AI tools, and transition from pilot to sustained operations.
• Clearly communicate model limitations, technical tradeoffs, evaluation findings, risks, and recommendations to technical and non-technical stakeholders.

Minimum Requirements

• U.S. citizenship.
• Current residence in the United States and residence in either the Eastern or Central Time Zone.
• Ability to obtain and maintain a DHS Public Trust.
• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a closely related technical field.
• At least 10 years of relevant professional experience in software engineering, machine learning, artificial intelligence, data science, or related technical disciplines, including significant recent AI/ML engineering experience.
• Expert-level Python development skills and demonstrated ability to build production software.
• Hands-on experience building applications or services with large language models.
• Experience with RAG, prompt engineering, embeddings/vector retrieval, orchestration, model evaluation, and AI guardrails.
• Experience integrating AI services with enterprise data sources and APIs.
• Experience deploying secure AI/ML workloads in cloud environments, with Azure experience strongly preferred.
• Strong understanding of AI security, sensitive-data protection, model governance, auditability, and responsible AI engineering.
• Strong system-design, problem-solving, documentation, and customer communication skills.

GovStar Expectations

• Passion for solving complex technical challenges in support of U.S. national security objectives.
• Willingness to learn, grow, and stretch outside established areas of expertise.
• Strong interpersonal skills and the ability to build trusted relationships with customers, partners, and teammates.
• Proactive communication, self-direction, ownership, and the ability to start and lead initiatives without waiting to be told what to do.
• Commitment to GovStar’s collective growth through knowledge sharing and participation in internal initiatives, innovation efforts, onboarding, and business-development support.
• Professionalism, humility, curiosity, customer empathy, and a collaborative, team-first mindset.

Preferred Requirements

• Experience with Azure OpenAI, Azure AI Foundry, Databricks, or equivalent enterprise AI platforms.
• Experience with AWS Bedrock or other commercial enterprise LLM platforms.
• Experience with agentic workflows, tool calling, structured outputs, multimodal AI, or advanced retrieval techniques.
• Experience developing AI evaluation harnesses, red-team tests, observability, or continuous quality monitoring.
• Experience with investigative, case-management, eDiscovery, document intelligence, translation, or transcription use cases.
• Experience supporting U.S. federal government systems, ATO processes, or regulated environments.
• Experience mentoring engineers and setting technical direction for AI engineering practices.

Relevant Technologies

• Python; Azure OpenAI; Azure AI Foundry; OpenAI models/APIs; Databricks; RAG/vector search; enterprise LLM frameworks; REST APIs; PostgreSQL/Cosmos DB; Docker/Kubernetes; GitHub Enterprise; CI/CD; Azure.

Benefits

Benefits
This is a full-time, salaried position. Benefits include:

• Health/Dental/Vision insurance
• 401(k) matching
• Paid time off
• Employee shares program