Software Engineer - AI InfrastructureAn active TS/SCI clearance with polygraph is required for this role About this Role We are looking for an experienced full-stack Software Engineer to join our AI infrastructure team and help build the next generation of AI capabilities for our customer. This is not a junior role - you'll be expected to independently design, implement, and operate scalable AI infrastructure components from day one, and to bring real technical leadership to everything you touch.
In this role, you will be at the center of a platform that powers production AI services, including retrieval augmented generation (RAG), autonomous agents, and other emerging technologies. You'll help ensure that platform is fast, reliable, observable, and secure - and you'll help the engineers around you level up while you're at it.
Here's what you'll be doing day to day:
- Designing, implementing, and optimizing infrastructure for AI model inference at scale
- Supporting the development and maintenance of production AI services and applications, including RAG pipelines, autonomous agents, and emerging AI technologies
- Navigating ambiguity and defining solutions for underspecified systems and requirements
- Driving adoption of new technologies and engineering practices across the team
- Implementing monitoring, logging, and observability solutions for AI services
- Automating infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles
- Ensuring high availability, reliability, and performance of AI platform components
- Contributing to security best practices for AI systems and data
- Providing technical guidance and informal mentorship to junior engineers
Requirements - 8 years of relevant experience, or 4 additional years of experience in lieu of a B.S. in a technical discipline
- 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
- An active TS/SCI clearance with polygraph
Preferred Skills - Experience with AI inference serving technologies such as vLLM or LiteLLM
- Previous experience with agentic frameworks such as LangChain
- Knowledge of vector databases and embedding systems
- Experience with high-performance computing or distributed systems
Benefits at Bitwise - 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.
Salary Range $230,000 - $271,000
This range includes our flex income and depends upon your annual work hours.
Salary is determined on an individual basis following the interview process and considering various factors such as years of experience, skills, education, and certifications.
What to Expect After Applying You'll get an email from us right away to acknowledge your application. After that, we'll:
- Send over additional company materials for you to review
- Schedule a video call to talk about you, our company, and your place in it
- Craft a delightful offer package for you and record a video walkthrough
- Work closely with you through onboarding. We'll keep it joyful and easy.
