Full Stack Software Engineer (AI Infrastructure), Level 3
About The Position
We are seeking a senior Full Stack Software Engineer (SWE3) to lead the design, development, and operation of enterprise-scale AI infrastructure platforms . In this role, you will own critical components of the AI platform, with a focus on scalable inference services and the broader ecosystem of AI-enabled applications. This position combines hands-on technical leadership with people leadership responsibilities . You will guide a small, integrated engineering team within a larger AI platform organization while remaining deeply involved in architecture, implementation, and operational excellence. This role is ideal for engineers who enjoy balancing technical depth with leadership, influence, and cross-team coordination.
Requirements
- Extensive experience designing, building, and operating large-scale production systems
- Deep expertise in systems integration across diverse technologies and platforms.
- Hands-on experience with cloud engineering , preferably AWS
- Advanced proficiency with Kubernetes administration and deployment patterns.
- Strong Python programming skills.
- Experience implementing and scaling observability solutions , including APM, OpenTelemetry, Grafana, and Prometheus.
- Proven ability to lead technical initiatives and influence organizational change.
- Experience developing and enforcing technical policies and governance frameworks
- Excellent communication, stakeholder management, and leadership skills.
- Ability to balance hands-on engineering with leadership, coordination, and strategic responsibilities.
Nice To Haves
- Experience with AI inference serving technologies such as vLLM , LiteLLM , or similar platforms.
- Previous experience with agentic frameworks such as LangChain
- Knowledge of vector databases and embedding systems.
- Experience with distributed systems or high-performance computing environments.
- Demonstrated track record of driving technical and cultural change in engineering organizations.
Responsibilities
- Design, implement, and optimize infrastructure supporting AI model inference at scale
- Lead the development and maintenance of production AI services and applications, including retrieval-augmented generation (RAG) , autonomous agents, and emerging AI technologies.
- Serve as technical lead for AI infrastructure initiatives, coordinating work across integrated engineering teams.
- Provide people leadership through regular one-on-ones, coaching, feedback, and professional development support.
- Act as the primary point of contact for operational and administrative coordination related to the team.
- Navigate ambiguous and complex problem spaces, defining scalable and maintainable solutions.
- Establish and evolve technical standards, policies, and governance frameworks where gaps exist.
- Drive adoption of new tools, technologies, and best practices across engineering teams.
- Implement and oversee monitoring, logging, and observability solutions for AI services.
- Ensure high availability, reliability, performance, and security of AI platform components.
- Communicate technical strategy and status effectively to stakeholders at multiple organizational levels.
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
