Full Stack Software Engineer
Indexed description
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
- 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
- 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
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
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