AI Developer IV, Scientific and Environmental Programs; Remote

The AI Developer IV will join the Product and Services team as a senior, hands‑on developer building production AI solutions for federal scientific and environmental programs in a remote work arrangement. This is not a general AI role. You will work directly with scientific and Earth observation data, technical mission documentation, and the researchers and program teams who depend on it.

The work spans generative and agentic AI, LLM integrations, RAG and knowledge solutions, APIs, and cloud‑based AI services, but the measure of success is whether those systems produce results scientists can trust.

The ideal candidate combines strong production engineering skills with real experience working alongside scientific data. You understand how scientific datasets are structured, where they break, and why accuracy and provenance matter more than a polished demo.

Success in this role means delivering AI solutions that hold up to scientific scrutiny, earning the trust of domain experts by speaking their language, and strengthening the team's engineering standards through high‑quality code, thorough reviews, and sound development practices.

• Design, build, and deploy production AI solutions that support federal scientific and environmental programs
• Apply LLM and generative AI solutions to scientific, geospatial, and Earth observation data
• Build RAG and knowledge retrieval solutions across technical, scientific, and mission documentation, including data ingestion, chunking, embeddings, vector search, and retrieval pipelines
• Work with scientists and subject matter experts to understand research questions and translate them into working AI systems
• Validate AI outputs against scientific standards, with attention to accuracy, provenance, uncertainty, and reproducibility
• Develop agentic workflows that use tools, orchestration, and multi‑step reasoning to support analysis and research tasks
• Integrate LLMs into applications and workflows through APIs and SDKs
• Build and maintain APIs and services that expose AI capabilities to internal teams and downstream systems
• Build AI‑driven analytics and automation that improve operational visibility, reporting, and decision‑making for federal programs
• Implement responsible AI practices, including human oversight, output validation, and auditability
• Deploy and operate AI services in the cloud using infrastructure as code and CI/CD practices
• Evaluate and improve AI solution quality, including accuracy, latency, cost, and reliability
• Implement monitoring, logging, and guardrails to keep AI systems observable, safe, and trustworthy
• Write clean, tested, well‑documented code and participate in code reviews
• Perform other duties and responsibilities as assigned

• Bachelor's degree in Computer Science, Engineering, a physical, environmental, or Earth science, or a related field, or equivalent practical experience
• 8+ years of professional software development experience, including deploying solutions to production
• Demonstrated experience working with scientific, geospatial, environmental, or Earth observation data in a professional or research setting
• Experience collaborating directly with scientists, researchers, or technical domain experts
• Strong proficiency in Python, including the scientific Python ecosystem (e.g., Num Py, pandas, xarray)
• Hands‑on experience building solutions with LLMs and generative AI (e.g., prompt design, function/tool calling, structured outputs)
• Experience building RAG or knowledge‑based solutions, including embeddings and vector databases
• Experience building AI solutions in federal or other regulated environments, with…