Senior Software Engineer - AI Infrastructure

Bitwise

• $282K — $332K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12 years of relevant experience; B.S. in a technical discipline or 4 additional years of experience in lieu of degree
  • Extensive experience in large-scale production systems
  • Deep expertise in systems integration across diverse technologies
  • Hands-on cloud engineering experience in AWS
  • Advanced proficiency with Kubernetes administration
  • Strong Python programming skills
  • Experience with observability solutions such as Grafana and Prometheus
  • Proven leadership in technical initiatives
  • Ability to balance engineering with leadership roles
  • Active TS/SCI clearance with polygraph

Responsibilities

  • Design, implement, and optimize infrastructure for AI model inference
  • Lead development and maintenance of AI services and applications
  • Serve as technical lead for AI infrastructure initiatives
  • Conduct one-on-ones and provide coaching to team members
  • Navigate ambiguity and define solutions for complex systems
  • Establish technical policies and governance frameworks
  • Drive adoption of new technologies across the organization
  • Implement monitoring and observability solutions

Benefits

  • Flexible PTO options between 3 and 5 weeks with pay adjustment
  • Paid federal holidays and up to 2 additional snow days
  • Generous 401(k) match up to 24% based on contributions
  • 100% employer-paid medical, dental, vision, life, and disability insurance
  • Annual education assistance of $5,250 for various educational needs
  • Spot bonuses for exceptional performance and recognition
Full Job Description
Senior Software Engineer - AI Infrastructure

An active TS/SCI clearance with polygraph is required for this role

About this Role

We're looking for a Senior Software Engineer to help build the next generation of AI infrastructure - the kind of platform-level work that powers real innovation at scale. This is a full-stack, hands-on engineering role with meaningful technical leadership responsibilities on a small, integrated team embedded within a larger AI platform organization.

In this role, you'll lead the design and operation of critical AI platform components, with a particular focus on scalable inference services and the broader AI application ecosystem. That means you'll be writing code, architecting systems, and making consequential technical decisions - while also mentoring teammates, coordinating cross-team initiatives, and helping shape the technical direction of the platform.

Day to day, you can expect to:
  • Design, implement, and optimize infrastructure for AI model inference at scale
  • Lead the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and other emerging technologies
  • Serve as the technical lead for AI infrastructure initiatives, coordinating work across integrated teams
  • Conduct regular one-on-ones and provide coaching, feedback, and support for your assigned team members
  • Act as the team point of contact for contract administration functions
  • Navigate ambiguity and define solutions for complex, underspecified systems and requirements
  • Establish technical policies, standards, and governance frameworks where gaps exist
  • Drive adoption of new technologies and engineering practices across the organization
  • Implement and oversee monitoring, logging, and observability solutions for AI services
  • Ensure the high availability, reliability, performance, and security of AI platform components
  • Communicate clearly and confidently with stakeholders at multiple organizational levels

This role is located in Laurel, MD.

Requirements
  • 12 years of relevant experience; a B.S. in a technical discipline is required, or 4 additional years of experience in lieu of a degree
  • Extensive experience designing, building, and operating large-scale production systems
  • Deep expertise in systems integration across diverse technologies and platforms
  • Hands-on cloud engineering experience in AWS
  • Advanced proficiency with Kubernetes administration and deployment patterns
  • Strong Python programming skills
  • Experience implementing and scaling observability solutions (APM, OpenTelemetry, Grafana, Prometheus)
  • Proven ability to lead technical initiatives and influence organizational change
  • Experience developing technical policies and governance frameworks
  • Excellent communication, stakeholder management, and leadership skills
  • Ability to balance hands-on engineering with leadership and coordination responsibilities
  • Active TS/SCI clearance with polygraph

Preferred Skills
  • Experience with AI inference serving technologies such as vLLM or LiteLLM
  • Previous experience with agentic frameworks, particularly LangChain
  • Knowledge of vector databases and embedding systems
  • Experience with high-performance computing or distributed systems
  • A track record of successfully driving technical and cultural change within engineering organizations

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

$282,000 - $332,000

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.

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