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
What you need to have
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
Pay transparency
Please note that the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company or an applicant's skill set, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
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 https://bigbear.ai/ 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.
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
