BigBear.ai, Inc.

Software Engineer (AI Infrastructure)

BigBear.ai, Inc.$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of relevant experience or a Bachelor's degree in a technical discipline with 4+ years of experience
  • TS/SCI clearance with Poly
  • Experience building and maintaining production systems at scale
  • Expertise in high-volume web application architecture and performance optimization
  • Proven cloud engineering experience in AWS
  • Proficiency in Kubernetes administration
  • Strong Python programming skills
  • Experience with observability solutions (APM, Grafana, Prometheus) and CI/CD pipelines

Responsibilities

  • Design, implement, and optimize AI model inference infrastructure at scale
  • Support development and maintenance of production AI services including RAG and autonomous agents
  • Navigate ambiguity to define solutions for underspecified systems
  • Drive technology and practice adoption across engineering teams
  • Implement monitoring and logging solutions for AI services
  • Automate infrastructure provisioning using Infrastructure-as-Code principles
  • Ensure high availability, reliability, and performance of AI platform components
  • Contribute to security best practices for AI systems and provide mentorship to junior engineers

Benefits

  • Work on cutting-edge AI technologies
  • Opportunity to mentor and guide junior engineers
  • Supportive team environment for technology adoption
  • Focus on high-impact projects in AI solutions
  • Flexible working arrangements potentially available
Full Job Description
Overview

BigBear.ai is seeking a Software 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.

What you will 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) 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

What you need to have

  • 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

What we'd like you to have

  • Experience with AI inference serving technologies (vLLM, LiteLLM, etc.)
  • Previous experience with agentic frameworks (LangChain)
  • Knowledge of vector databases and embedding systems
  • Experience with high-performance computing or distributed systems

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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.
Learn more about BigBear.ai, Inc.
Size
200 employees
Market Cap
$90.6 million
Industry

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