Senior Software Engineer - AI Infrastructure

Bitwise Creative LLC

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

Qualifications

  • 12 years of software engineering experience, or 16 years in lieu of a technical B.S.
  • B.S. in a technical discipline or 4 additional years of experience
  • Experience with large-scale production systems design and operation
  • Deep systems integration expertise across technologies and platforms
  • Hands-on cloud engineering experience, specifically in AWS
  • Advanced skills in Kubernetes administration
  • Strong Python programming proficiency
  • Experience implementing observability solutions like APM and Grafana
  • Proven leadership in technical initiatives and organizational change

Responsibilities

  • Design and optimize infrastructure for AI model inference at scale
  • Lead development and maintenance of AI applications, including innovative technologies
  • Define solutions for complex systems and requirements under ambiguity
  • Establish technical policies and governance frameworks
  • Drive adoption of new technologies and practices in engineering teams
  • Implement and oversee observability solutions for AI services
  • Ensure high availability, reliability, performance, and security of AI components

Benefits

  • Flexible PTO options of 3 or 5 weeks with corresponding pay adjustments
  • Paid time off for all 11 federal holidays and up to 2 additional snow days
  • Up to 24% company match on 401(k), quadrupling contributions up to 6%
  • 100% employer-paid medical, dental, vision, life, and disability insurance
  • Annual education assistance up to $5,250 for training and tuition
  • Spot bonuses for certifications and outstanding contributions
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 powering innovation across a critical national security mission. This is a senior full-stack role embedded in an AI platform organization, where you'll lead the development and operation of scalable inference services and the broader AI application ecosystem.

This isn't just a heads-down engineering role - you'll also carry meaningful technical leadership responsibilities. That means serving as a tech lead for AI infrastructure initiatives, coordinating work across integrated teams, and providing coaching and support for a small group of engineers through regular one-on-ones and ongoing feedback. You'll also act as the team's point of contact for contract administration functions.

Day to day, you'll be doing things like:
  • Designing, implementing, and optimizing infrastructure for AI model inference at scale
  • Leading the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and other emerging technologies
  • Navigating ambiguity and defining solutions for complex, underspecified systems and requirements
  • Establishing technical policies, standards, and governance frameworks where gaps exist
  • Driving adoption of new technologies and practices across engineering teams
  • Implementing and overseeing monitoring, logging, and observability solutions for AI services
  • Ensuring high availability, reliability, performance, and security of AI platform components
  • Communicating effectively with stakeholders at multiple organizational levels

If you're someone who thrives at the intersection of deep technical work and team leadership - and who gets energized building systems that genuinely matter - this is a role worth your attention.

Requirements
  • 12 years of experience in software engineering, or 16 years in lieu of a B.S. in a technical discipline
  • B.S. in a technical discipline (or 4 additional years of experience in place of the degree)
  • Extensive experience designing, building, and operating large-scale production systems
  • Deep expertise in systems integration across diverse technologies and platforms
  • Hands-on experience with cloud engineering 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 like 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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