AI Application Engineer

You will work on an innovative AI platform that combines large language models (LLMs), AI agents, retrieval-augmented generation (RAG), enterprise data integration, and dynamic user interfaces to help organizations make better decisions and automate complex business processes., * Design and develop full-stack AI applications using Python, REST APIs, React/TypeScript, and relational databases

• Build AI-powered features using LLMs, RAG, semantic search, and agent-based architectures
• Develop integrations connecting AI agents with enterprise databases, APIs, documents, and business systems
• Help build a configurable AI platform that supports domain-specific knowledge, reusable AI capabilities, workflow automation, and interactive user experiences
• Implement and enhance data visualization, dashboards, chat interfaces, and AI-assisted business workflows
• Experiment with AI frameworks, tools, and technologies to evaluate and implement new capabilities
• Collaborate with solution architects, AI engineers, and domain experts to transform business requirements into working applications
• Develop maintainable, tested, secure, and production-quality software using modern development practices
• Leverage AI coding assistants to accelerate development while maintaining strong engineering standards
• Support modernization and integration of existing applications as needed

• 3+ years of software development experience, including hands-on backend and/or full-stack application development
• Ability to obtain and maintain a U.S. government security clearance
• Strong Python programming skills and experience developing REST APIs using FastAPI, Flask, or similar frameworks
• Experience developing modern web applications using JavaScript/TypeScript and React or comparable frontend technologies
• Working knowledge of SQL and relational databases such as PostgreSQL
• Practical experience developing or integrating LLM-powered applications, including RAG, AI agents, or LLM API integrations
• Familiarity with modern development tools, Git, Docker, testing, and debugging
• Ability to learn new frameworks quickly, solve complex technical problems, and independently deliver working software

What we’d like you to have

• Experience with LangChain, LangGraph, LangChain4j, or similar AI application frameworks
• Experience with vector databases such as pgvector, Weaviate, or other semantic search technologies
• Familiarity with AI agent tool integration, Model Context Protocol (MCP), and agent orchestration
• Experience integrating multiple LLM providers such as OpenAI, Anthropic, or Ask Sage
• Experience with configurable platforms, workflow automation, or dynamic application interfaces
• Experience with PostgreSQL, Redis, Keycloak/OAuth, and enterprise authentication
• Experience with Dash/Plotly, Nx monorepos, or modernization of legacy applications
• Familiarity with CI/CD, containerization, and cloud-native deployment
• Experience developing software for government, defense, or other regulated environments

BigBear.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 and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.