Full Stack Software Engineer (AI Infrastructure)

BitwiseLaurel, MD
15h$175,000 - $250,000

About The Position

Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We’re seeking a full-stack software engineer to support our AI infrastructure team. In this role, you’ll help build and maintain the platform that provides the foundation for the customer’s AI capabilities, focusing on inference services while supporting the broader ecosystem of AI-enabled applications. This role is intended for experienced engineers who can independently design, implement, and operate scalable AI infrastructure components.

Requirements

  • Active TS/SCI with Polygraph. Candidates without a current clearance will not be considered.
  • 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.
  • Eight (8) years of experience with a Bachelor’s degree in a technical discipline (4 additional years of experience may substitute for a degree).

Nice To Haves

  • 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.

Responsibilities

  • 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 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.

Benefits

  • Top salaries because we're top performers
  • Pick your PTO – Everyone values time and money differently, so we give you the flexibility to choose between 3 and 5 weeks of PTO with a corresponding adjustment to your pay. Your choice, your balance.
  • All 11 federal holidays, paid!
  • Up to 2 snow days, paid!
  • We’ll quadruple (4x!) the first 6% you contribute to your 401(k), giving you up to a 24% company match. Contributing less than 6%? Unclaimed matches come right back to you as extra income, giving you a guaranteed 24% that goes to your retirement, to your paycheck, or both. C’mon now! 🚀
  • 100% employer-paid medical, dental, vision, life, and disability insurances. That’s a lot. Already covered on health insurance? No problem – we’ll trade you this benefit for a boost to your salary instead.
  • $5,250 annual education assistance for training, certifications, tuition, and even student loan repayments.
  • Spot bonuses for obtained certifications, customer recognition, and just about anything else that makes us go "Hot damn!". We hope to say that many times about you. 🔥
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