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Full-time
bachelor degree
Posted 108d ago
Apply by Aug 4
~40 hrs/week
Responsibilities
You will design, implement, and optimize scalable AI infrastructure and inference services to support the company's AI-enabled applications. Additionally, you will manage production AI services, automate infrastructure provisioning, and provide technical mentorship to junior engineers.
Requirements
Candidates must possess an active TS/SCI with Polygraph clearance and have at least 8 years of experience in a technical discipline. Proficiency in Java, Python, AWS, and Kubernetes is required to build and maintain production systems at scale.
Full job description
Residency
All applicants must reside in the United States at the time of application.
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
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
Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
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 https://bigbear.ai/ 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.
Related keywords
Full Stack Software EngineerAI InfrastructureInference ServicesJavaPythonAWSKubernetesInfrastructure as CodeIaCObservabilityPrometheusGrafanaOpenTelemetryCI/CDDevOpsTS/SCI with Polygraph
BigBear.ai fuses artificial intelligence with deep mission expertise, empowering decision-makers and operators to act with speed, precision, and confidence. BigBear.ai is at the forefront of innovation for defense and national security and is committed to supporting the critical infrastructure driving our nation's competitive edge. We deploy cutting-edge Al, machine learning, and computer vision solutions to defend critical operations and win with decision advantage.
Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI.
Offices: 7950 Jones Branch Dr, McLean, Virginia 22102, US · 3891 Ranchero Dr, Suite 50, Ann Arbor, MI 48108, US · 14399 Penrose Pl, Chantilly, Virginia 20151, US · 1000 Research Park Blvd. Suite 320 Charlottesville, VA 22911, Suite 320, Charlottesville, VA 22911, US