Full Stack Software Engineer (AI Infrastructure), Level 1
About The Position
We are seeking a Full Stack Software Engineer (SWE1) to help build and support the next generation of AI infrastructure platforms . In this role, you will contribute to the development and operation of the foundational services that enable scalable AI capabilities, with a focus on model inference services and support for a broader ecosystem of AI-enabled applications. You will work alongside senior engineers in a collaborative environment, gaining hands-on experience with production AI systems while contributing to real-world solutions. This role is ideal for engineers who are eager to grow their skills in cloud-native development, AI infrastructure, and distributed systems.
Requirements
- Experience contributing to production software systems .
- Familiarity with high-volume web application architectures .
- Exposure to cloud engineering , preferably AWS .
- Working knowledge of Kubernetes concepts and containerized deployments.
- Proficiency in Python .
- Familiarity with CI/CD pipelines and modern DevOps practices.
- Ability to learn new technologies quickly and adapt to evolving technical environments.
- Strong communication skills and willingness to ask questions and seek feedback.
Nice To Haves
- Exposure to AI inference serving technologies such as vLLM , LiteLLM , or similar platforms.
- Familiarity with agentic frameworks such as LangChain .
- Awareness of vector databases and embedding systems.
- Interest in distributed systems , scalability, or performance engineering.
- Experience supporting cloud-native or microservices-based architectures.
Responsibilities
- Implement and support infrastructure components for AI model inference under the guidance of senior engineers.
- Contribute to the development and maintenance of production AI services and applications, including retrieval-augmented generation (RAG) and autonomous agent-based systems.
- Assist with implementing monitoring, logging, and observability for AI services.
- Support automation of infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles.
- Help ensure availability, reliability, and performance of AI platform components.
- Follow established security best practices for AI systems and data handling.
- Work in ambiguous problem spaces while learning to define structured, scalable solutions.
- Collaborate with cross-functional engineering teams and contribute to shared development standards and best practices.
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
Entry Level
