BigBear.ai, Inc.

Full Stack Software Engineer

BigBear.ai, Inc. • $100K — $130K *
Columbia, MD 21044In-Person
Information Technology
8 - 10 years of experience
Reposted 4 days ago
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Job Overview by Ladders

Qualifications

  • Active TS/SCI clearance with Polygraph required
  • 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
  • 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
    • 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, 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
Information Technology
* Ladders Estimates

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