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Full Stack Software Engineer

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Dice.com | BigBear.ai | ClearanceJobs.com

Columbia, MD (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 6/13/2026

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Job Description

Full Stack Software Engineer Skills
  • Innovation
  • FOCUS
  • Infrastructure Architecture
  • Emerging Technologies
  • Conflict Resolution
  • Problem Solving
  • Provisioning
  • High Availability
  • Mentorship
  • Security Clearance
  • Java
  • Web Applications
  • Performance Tuning
  • System Integration
  • Cloud Computing
  • Amazon Web Services
  • Kubernetes
  • Python
  • Software Performance Management
  • Grafana
  • Continuous Integration
  • Continuous Delivery
  • DevOps
  • Change Management
  • Communication
  • Collaboration
  • LangChain
  • Vector Databases
  • High Performance Computing
  • Supply Chain Management
  • Predictive Analytics
  • LinkedIn
  • Artificial Intelligence
  • Summary 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 w 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 BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on
                              LinkedIn:
                              BigBear.ai and
                              X:
                              BigBearai. BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities. Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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