Applied AI EngineerAn active TS//SCI clearance with polygraph is required for this role About this RoleYou'll join a forward-deployed team working directly with mission operators and analysts, building and improving the AI agents, Skills, and tools they use every day. As an Applied AI Engineer, you'll develop agentic AI solutions that embed AI into operations, helping teams move faster without sacrificing accuracy or control. You'll work under the guidance of senior engineers, learn CNO tradecraft from the operators and analysts you support, and see the results of your work firsthand. This role is perfect for an engineer with a solid software foundation who wants to grow quickly in applied AI.
Your day-to-day work will include:
- Developing and testing components of agentic AI solutions in Python, including MCP servers, Skills, and integrations with mission data sources and tools
- Participating in requirements discussions with operators and analysts to understand their workflows and tradecraft
- Building scripts and tools that convert, normalize, and extract information from customer data
- Writing test cases and evaluation examples that verify AI capabilities return correct and reliable results
- Using AI coding agents in daily development, understanding and reviewing generated code before committing it
- Collaborating with other engineers to test workflows, identify issues, and recommend fixes
- Creating documentation and user guides that help mission users adopt new AI tools
Requirements- 3+ years of relevant experience with a B.S. in a technical discipline, or 7+ years of relevant experience without a degree
- Proficiency in Python, including working with JSON, REST APIs, and data manipulation
- Understanding of software engineering fundamentals, including version control (Git), testing, and debugging
- Familiarity with LLM concepts such as prompt engineering, structured outputs, and tool/function calling
- Experience using AI coding assistants (e.g., Claude Code, Copilot) to write, debug, or test code
- Familiarity with Linux environments and the command line
- Strong communication skills and willingness to learn from senior engineers and mission subject matter experts
Preferred Skills- Experience building agentic workflows, MCP servers, or Skills
- Experience with Docker, Kubernetes, or GitLab CI/CD
- Experience with retrieval systems (RAG, vector databases, Elasticsearch)
- Experience building web interfaces with React or TypeScript
- Background in cybersecurity, or knowledge of CNO operations and SIGINT collection and analysis 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$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.
