8 years of experience in a technical role with a B.S. or 12 years of equivalent experience
Proven experience with building large-scale production systems
Cloud engineering experience specifically with AWS
Strong proficiency in Python programming
Strong understanding of systems integration across multiple technologies
Hands-on experience with Kubernetes and CI/CD practices
Responsibilities
Design and optimize infrastructure for AI model inference at scale
Develop and maintain production AI services and applications
Define solutions in ambiguous scenarios and navigate underspecified requirements
Drive adoption of new technologies across engineering teams
Implement monitoring and observability solutions for AI services
Automate infrastructure provisioning using Infrastructure as Code (IaC) principles
Ensure reliability and performance of AI platform components
Contribute to security best practices for AI systems
Benefits
Flexible work arrangements
Professional development opportunities
Joining a leading provider in AI decision intelligence
Impactful work in national security and mission-based environments
Supportive workplace culture focused on innovation
Full Job Description
Overview
BigBear.ai is seeking a Full Stack Software Engineer to help build the next generation of AI infrastructure that will drive innovation across the customer organization. In this role, you will support the AI infrastructure team by building and maintaining the platform that serves as the foundation for the customer's AI capabilities. You will focus on inference services while supporting the broader ecosystem of AI-enabled applications. This position is ideal for experienced engineers who can independently design, implement, and operate scalable AI infrastructure components. If you are passionate about cutting-edge AI technologies and building robust systems, this is the opportunity for you.
What you will do
Infrastructure Design: Design, implement, and optimize infrastructure for AI model inference at scale
AI Services Development: Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies
Problem Solving: Navigate ambiguity and define solutions for underspecified systems and requirements
Technology Adoption: Drive adoption of new technologies and practices across engineering teams
Monitoring & Observability: Implement monitoring, logging, and observability solutions for AI services
Automation: Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles
Reliability: Ensure high availability, reliability, and performance of AI platform components
Security: Contribute to security best practices for AI systems and data
Mentorship: Provide technical guidance and informal mentorship to junior engineers
What you need to have
Clearance: Must possess and maintain an active TS/SCI w/Polygraph
All applicants must currently reside in the United States
Education & Experience:
8 years of experience with a B.S. in a technical discipline or 4 additional years of experience in place of a degree
Technical Expertise:
proficiency in Java and Python.
Proven experience building and maintaining production systems at scale
Experience with high-volume web application architecture and performance optimization
Strong background in systems integration across diverse technologies and platforms
Hands-on experience with cloud engineering in AWS
Proficiency with Kubernetes administration and deployment patterns
Familiarity with CI/CD pipelines and DevOps practices
Strong change management and organizational influence skills
Ability to thrive in ambiguous environments and create structure where needed
Excellent communication and collaboration skills
What we'd like you to have
AI Inference Expertise: Experience with AI inference serving technologies (e.g., vLLM, LiteLLM)
Agentic Frameworks: Previous experience with agentic frameworks (e.g., LangChain)
Vector Databases: Knowledge of vector databases and embedding systems
Distributed Systems: Experience with high-performance computing or distributed systems
About BigBear.ai, Inc.
BigBear.ai is a leading provider of artificial intelligence and machine learning solutions that enable businesses to make better decisions by automating and augmenting their data analysis capabilities. The company's platform leverages advanced algorithms and data analytics tools to help organizations extract insights from large and complex data sets, and to develop predictive models that can be used to optimize business processes and improve operational efficiency. BigBear.ai's solutions are used by a wide range of industries, including defense, intelligence, finance, healthcare, and energy.
