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
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.
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
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
