Software Engineer - InferenceAn active TS/SCI clearance with polygraph is required for this role About this RoleWe're looking for a Software Engineer to join our AI infrastructure team and help build the next generation of capabilities powering our customer's most critical missions. In this role, you'll be a key contributor to the foundation that makes cutting-edge AI accessible - ensuring users throughout the organization have reliable access to the highest-quality large language models (LLMs) available.
This isn't a role where you'll be handed a tightly scoped checklist and told to execute. Mission needs shift fast, new technologies emerge constantly, and you'll be expected to turn loosely defined problems into working solutions. You'll sharpen your skills continuously and grow alongside a team that takes both the mission and each other seriously.
Day to day, you will:
- Procure, configure, and test new inference models, preparing them for release to users
- Develop in-house services and techniques to ensure continual, high-quality inference for our customer
- Work with model vendor teams and representatives to build reliable pipelines for closed-source model usage
- Collaborate with teammates on surge efforts to support short-term, high-priority inference needs
- Partner with other teams across the organization to establish solid infrastructure and integrate LLM-powered tools that serve real user needs
Requirements- 3 years of relevant experience with a B.S. in a technical discipline, or 7 years of experience in lieu of a degree
- Experience with Python and/or other modern programming languages
- Familiarity with Argo CD and/or other CI/CD frameworks
- Experience with Kubernetes and Helm
- Familiarity with AWS or other cloud service providers
- Ability to learn new technologies quickly and adapt as requirements evolve
- Strong communication skills and a genuine willingness to ask questions
- Active TS/SCI clearance with polygraph
Preferred Skills- Experience with vLLM, LiteLLM, or similar inference-serving frameworks
- Experience with other LLM hosting frameworks and practices
- Experience supporting production software using Site Reliability Engineering (SRE) best practices
- Experience with Elastic, Grafana/Prometheus, or other observability frameworks and practices
- Experience with Docker and containerization
- Experience in traffic shaping and quality-of-service engineering
- Knowledge of and genuine interest in hosting AI capabilities
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$197,500 - $232,500
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 ApplyingYou'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.
