Software Engineer (AI Infrastructure)

Job Description

Job Description

Overview

BigBear.ai is seeking a S oftware Engineer to support our AI infrastructure team. In this role, you'll help build and maintain the platform that provides the foundation for the customer's AI capabilities, focusing on inference services while supporting the broader ecosystem of AI-enabled applications.

This role is intended for experienced engineers who can independently design, implement, and operate scalable AI infrastructure components.

Responsibilities

• Design, implement, and optimize infrastructure for AI model inference at scale
• Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies
• Navigate ambiguity and define solutions for underspecified systems and requirements
• Drive adoption of new technologies and practices across engineering teams
• Implement monitoring, logging, and observability solutions for AI services
• Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) principles
• Ensure high availability, reliability, and performance of AI platform components
• Contribute to security best practices for AI systems and data
• Provide technical guidance and informal mentorship to junior engineers

Qualifications

• 8+ years of relevant experience, or Bachelor's degree in a technical discipline + 4+ years of experience
• Clearance: TS/SCI w/Poly
• 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