{"schemaVersion":"jobsearcher.job.v1","id":"c107be4e5af7e6cb6c64cf49","url":"https://jobsearcher.com/jobs/c107be4e5af7e6cb6c64cf49","canonicalUrl":"https://jobsearcher.com/jobs/c107be4e5af7e6cb6c64cf49","title":"AI Application Engineer","description":"Overview:\n\nBigBear.ai is seeking an AI Applications Engineer. In this position, you will develop and maintain AI applications and a config-driven decision-support platform that combines LLM-powered chat (RAG), structured data (MCP/PostgreSQL), and dashboards to support operational readiness and logistics workflows. You will own features end-to-end across backend APIs, database, and the modern React UI, with ongoing support for the existing Dash/Flask application during migration.\n\nAll applicants must reside in the National Capital Region.\n\nWhat you will do:\nBuild and maintain full-stack features: FastAPI services, PostgreSQL schema/migrations, and React/TypeScript UI in an Nx monorepo\nDesign, implement, and maintain LLM/RAG pipelines using LangChain (Python) or LangChain4J (Java)—retrieval, embeddings, tool/agent orchestration, and prompt workflows\nIntegrate LLM providers (e.g. OpenAI, Anthropic, Ask Sage), document ingestion, semantic search, and chat/report features\nWork with vector stores (e.g. PostgreSQL (pgvector), Weaviate), Redis, and Keycloak auth; implement role-based access and secure API patterns\nConnect to external systems via MCP, REST/PostgREST, and related data adapters\nWrite and maintain tests (pytest, Vitest) and participate in CI/CD (Docker, GitHub Actions)\nDebug production issues, improve reliability/performance, and keep dependencies and security patches current\nUse AI-assisted development tools (e.g. Cursor) effectively: prompt well, review generated code critically, and ship production-quality changes at a steady pace\nWhat you need to have:\n3+ years full-stack development with strong Python and React/TypeScript\nMust be able to obtain and maintain a security clearance\nHands-on LLM/RAG experience building production features with LangChain or LangChain4J (chains, retrievers, agents/tools, embeddings, vector stores)\nExperience building and consuming REST APIs (FastAPI or similar)\nSolid PostgreSQL skills: schema design, SQL, migrations (pgvector a plus)\nComfortable with Docker, local dev environments, and basic deployment workflows\nStrong debugging, testing, and code review habits\nAbility to work independently across backend, frontend, database, and AI layers\nProven comfort using AI coding assistants as a daily workflow—not as a substitute for understanding the codebase\nWhat we'd like you to have:\nDash/Plotly, Flask, or legacy-to-modern UI migration experience\nKeycloak/OAuth, Redis sessions\nNx monorepos, TanStack Router/Query, Tailwind CSS\nMCP protocol, Ask Sage, or similar enterprise LLM platforms\nGovernment/defense or regulated-environment experience\nAbout BigBear.ai:\n\nBigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.\n\nBigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.","company":"Bigbearai","rawCompany":"bigbearai","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-31T09:10:52.774Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Application Engineer","description":"Overview:\n\nBigBear.ai is seeking an AI Applications Engineer. In this position, you will develop and maintain AI applications and a config-driven decision-support platform that combines LLM-powered chat (RAG), structured data (MCP/PostgreSQL), and dashboards to support operational readiness and logistics workflows. You will own features end-to-end across backend APIs, database, and the modern React UI, with ongoing support for the existing Dash/Flask application during migration.\n\nAll applicants must reside in the National Capital Region.\n\nWhat you will do:\nBuild and maintain full-stack features: FastAPI services, PostgreSQL schema/migrations, and React/TypeScript UI in an Nx monorepo\nDesign, implement, and maintain LLM/RAG pipelines using LangChain (Python) or LangChain4J (Java)—retrieval, embeddings, tool/agent orchestration, and prompt workflows\nIntegrate LLM providers (e.g. OpenAI, Anthropic, Ask Sage), document ingestion, semantic search, and chat/report features\nWork with vector stores (e.g. PostgreSQL (pgvector), Weaviate), Redis, and Keycloak auth; implement role-based access and secure API patterns\nConnect to external systems via MCP, REST/PostgREST, and related data adapters\nWrite and maintain tests (pytest, Vitest) and participate in CI/CD (Docker, GitHub Actions)\nDebug production issues, improve reliability/performance, and keep dependencies and security patches current\nUse AI-assisted development tools (e.g. Cursor) effectively: prompt well, review generated code critically, and ship production-quality changes at a steady pace\nWhat you need to have:\n3+ years full-stack development with strong Python and React/TypeScript\nMust be able to obtain and maintain a security clearance\nHands-on LLM/RAG experience building production features with LangChain or LangChain4J (chains, retrievers, agents/tools, embeddings, vector stores)\nExperience building and consuming REST APIs (FastAPI or similar)\nSolid PostgreSQL skills: schema design, SQL, migrations (pgvector a plus)\nComfortable with Docker, local dev environments, and basic deployment workflows\nStrong debugging, testing, and code review habits\nAbility to work independently across backend, frontend, database, and AI layers\nProven comfort using AI coding assistants as a daily workflow—not as a substitute for understanding the codebase\nWhat we'd like you to have:\nDash/Plotly, Flask, or legacy-to-modern UI migration experience\nKeycloak/OAuth, Redis sessions\nNx monorepos, TanStack Router/Query, Tailwind CSS\nMCP protocol, Ask Sage, or similar enterprise LLM platforms\nGovernment/defense or regulated-environment experience\nAbout BigBear.ai:\n\nBigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.\n\nBigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.","datePosted":"2026-08-31T09:10:52.774Z","dateModified":"2026-08-31T09:10:52.774Z","hiringOrganization":{"@type":"Organization","name":"Bigbearai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c107be4e5af7e6cb6c64cf49"},"url":"https://jobsearcher.com/jobs/c107be4e5af7e6cb6c64cf49"}}