Full Stack Software Engineer (AI Infrastructure), Level 2
About The Position
We are seeking an experienced Full Stack Software Engineer (SWE2) to help design, build, and operate the next generation of AI infrastructure platforms . In this role, you will take ownership of scalable infrastructure components that support AI model inference and a growing ecosystem of AI-enabled applications. This position is intended for engineers who can work independently in ambiguous problem spaces, define structured solutions, and deliver production-ready systems. You will play a key role in shaping technical direction, improving platform reliability, and driving adoption of modern AI infrastructure practices across engineering teams.
Requirements
- Proven experience building and maintaining production systems at scale .
- Experience with high-volume web application architectures and performance optimization.
- Strong background in systems integration across diverse technologies and platforms.
- Hands-on experience with cloud engineering , preferably AWS .
- Proficiency with Kubernetes administration and containerized deployment patterns.
- Strong Python programming skills.
- Experience implementing observability solutions , including APM, OpenTelemetry, Grafana, and Prometheus.
- Familiarity with CI/CD pipelines and modern DevOps practices.
- Strong change-management skills and ability to influence technical direction.
- Ability to thrive in ambiguous environments and create structure where needed.
- Excellent communication and cross-team collaboration skills.
- Must be a U.S. citizen with an active TS/SCI security clearance with polygraph
- Bachelor’s degree in a relevant technical discipline and 8+ years of relevant professional experience OR 12+ years of relevant professional experience in lieu of a degree
Nice To Haves
- Experience with AI inference serving technologies such as vLLM , LiteLLM , or similar.
- Previous experience with agentic frameworks such as LangChain .
- Knowledge of vector databases and embedding systems.
- Experience with distributed systems , high-performance computing, or scalability engineering.
Responsibilities
- Design, implement, and optimize infrastructure supporting AI model inference at scale .
- Develop and maintain production AI services and applications, including retrieval-augmented generation (RAG) , autonomous agents, and emerging AI technologies.
- Navigate ambiguous or underspecified requirements and define scalable, maintainable solutions.
- Drive adoption of new tools, technologies, and best practices across engineering teams.
- Implement and maintain 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 handling.
- Provide technical guidance and informal mentorship to junior engineers.
Benefits
- Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents
- Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents
- 401(k): 15% company contribution (no match required)
- PTO: 160 hours, increasing with seniority
- 12 Floating Holidays
- 4 Code Red Days
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
