BigBear.ai is seeking a Software Engineer to join its AI infrastructure team in Columbia, Maryland. The role focuses on designing, implementing, and operating the platform that underpins our AI capabilities, with an emphasis on scalable model inference services and supporting the broader ecosystem of AI-enabled applications.

What you'll do: - 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) - 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

What we'd like you to have: - 8+ years of relevant experience, or Bachelor's degree in a technical discipline + 4+ years of experience - TS/SCI w/ Poly clearance - 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 eng

BigBear.ai is seeking a Software Engineer to join its AI infrastructure team in Columbia, Maryland. The role focuses on designing, implementing, and operating the platform that underpins our AI capabilities, with an emphasis on scalable model inference services and supporting the broader ecosystem of AI-enabled applications.

What you'll do: - 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) - 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

What we'd like you to have: - 8+ years of relevant experience, or Bachelor's degree in a technical discipline + 4+ years of experience - TS/SCI w/ Poly clearance - 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 eng