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# Software Engineer (AI Infrastructure)

- **Company:** BigBear.ai, Inc.
- **Location:** Columbia, MD, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Encodings, DevOps, Distributed Systems, Python (Programming Language), Performance Tuning, Prometheus, Systems Integration, Web Applications, AI Infrastructure, Data Logging, High Performance Computing, System Availability, Grafana, Generative AI, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, LiteLLM, BIG-IP Access Policy Manager (APM), VLLM, Model Inference
- **Published:** October 11, 2026
- **Apply:** https://www.juju.com/job/1_bigbear-4478

## About the Role

This role is intended for experienced engineers who can independently design, implement, and operate scalable AI infrastructure components.
What you will do + 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 (RAG), 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 (IaC) 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 What you need to have + 8+ years of relevant experience, or Bachelor's degree in a technical discipline + 4+ years of experience + Clearance: TS/SCI
w/Poly + 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 + Experience with AI inference serving technologies (vLLM, LiteLLM, etc.) + Previous experience with agentic frameworks (LangChain) + Knowledge of vector databases and embedding 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.