Software Engineer – AI Infrastructure

Bitwise • Laurel, MD

3d • Onsite

About The Position

An active TS/SCI clearance with polygraph is required for this role. Bitwise is a leading provider of mission-focused intelligence solutions that advance national security for the Intelligence Community and Department of Defense. We're a small and growing company, so you can expect to hop in on the ground floor with us and be a consequential member of the team. You'll be more than a contract performer for us — you'll also be asked for ideas to improve our company and improve your career, and you'll contribute to our team culture. We value growth and community above almost all else, so we gather regularly for game nights, happy hours, tech talks, and plenty more. We think you'll like it here! Remember, Bitwise is not a cult. Bitwise hires talented engineers who are driven by purpose and who value a culture of technical excellence, growth, and overall wellness. We deliver new and innovative intelligence solutions to our customers at the very forefront of our country's national security missions. And we do it every single day. Our work matters, and so will you. We ask that every new hire be able to: Contribute meaningful thought leadership — if not right away, over time. Interact with our customers and earn their confidence in your abilities. Be detailed, even if that means taking a little more time to get it right. Contribute their ideas and ideals to improve all aspects of our company. Allow us to invest in their education so we both grow together. Know and live our core values every single day.

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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Top salaries
• Pick your PTO — between 3 and 5 weeks of PTO with a corresponding adjustment to your pay
• All 11 federal holidays, paid!
• Up to 2 snow days, paid!
• 4x match on the first 6% of 401(k) contributions (up to 24% company match)
• 100% employer-paid medical, dental, vision, life, and disability insurances
• $5,250 annual education assistance for training, certifications, tuition, and student loan repayments
• Spot bonuses for obtained certifications, customer recognition, and other achievements

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree