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Bigbear.ai

Operational AI platform for decision support

Full Stack Software Engineer

Platform Engineering +1Confirmed live in the last 24 hours
Full-timeColumbia, MD, USANo salary listed

About the Job

Requirements

  • Must possess and maintain an active Top Secret/Sensitive Compartmented Information clearance with polygraph.
  • Have 8 years of experience with a Bachelor of Science in a technical discipline, or 4 additional years of experience in place of a degree.
  • Demonstrate proficiency in Java and Python.
  • Have proven experience building and maintaining production systems at scale.
  • Have experience with high-volume web application architecture and performance optimization.
  • Have a strong background in systems integration across diverse technologies and platforms.
  • Have hands-on experience with cloud engineering in Amazon Web Services.
  • Have proficiency with Kubernetes administration and deployment patterns.
  • Have experience implementing observability solutions, including application performance monitoring, OpenTelemetry, Grafana, or Prometheus.
  • Be familiar with continuous integration and continuous delivery pipelines and DevOps practices.
  • Have strong change management and organizational influence skills.
  • Be able to work effectively in ambiguous environments and create structure where needed.
  • Have excellent communication and collaboration skills.
  • All applicants must reside in the United States at the time of application.

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, 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 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.

Desired Qualifications

  • Have experience with AI inference serving technologies such as vLLM or LiteLLM.
  • Have previous experience with agentic frameworks such as LangChain.
  • Have knowledge of vector databases and embedding systems.
  • Have experience with high-performance computing or distributed systems.

About the Company

Bigbear.ai

Operational AI platform for decision support

BigBear.ai builds operational AI software that helps organizations improve decision-making, cyber operations, and business agility. Its platform combines AI-driven analytics on an organization’s data with external inputs to give a full, real-time view of the environment, uncover new insights, and produce accurate predictions. The product works by integrating data from internal systems and external sources, applying advanced analytics to surface actionable intelligence, and enabling fast, informed actions in complex settings. What sets BigBear.ai apart is its depth of expertise in operational AI and its ability to optimize existing data with additional inputs, delivering data mining and predictive capabilities that go beyond traditional intelligence tools. Its goal is to help clients succeed in mission-critical environments—such as government intelligence, healthcare, and manufacturing—by improving efficiency, risk management, and operational performance.

Company size
501-1,000
Company stage
IPO
Headquarters
Tysons, VA
Founded
2020

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