Full Stack Software Engineer

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

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

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

Strong Python programming skills

Experience implementing observability solutions (APM, OpenTelemetry, Grafana, Prometheus)

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

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.