Software Engineer I (AI Focus)

Bitwise

• $197K — $232K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of professional software engineering experience or 4+ years of relevant technical work without a degree
  • B.S. in a technical discipline or equivalent experience
  • Proficiency in Python, with experience in JSON, REST APIs, and data manipulation
  • Experience with HTTP-based APIs for data access
  • Understanding of AI development concepts like prompt engineering and context management
  • Familiarity with Git and Atlassian tools (Jira, Confluence)
  • Ability to present data analysis results to customers
  • Active TS//SCI clearance with polygraph

Responsibilities

  • Develop and refine software integrating AI capabilities into critical workflows
  • Build Python-based agentic integrations using modern frameworks
  • Navigate complex customer data ecosystems to extract relevant information
  • Integrate findings with external APIs and tools for system interoperability
  • Collaborate with other engineers to test workflows and identify issues
  • Present data analysis results to customers to build confidence in solutions
  • Ensure AI tools remain stable and integrated into existing customer toolsets

Benefits

  • Flexible PTO options between 3 and 5 weeks with corresponding pay adjustments
  • Paid federal holidays and up to 2 paid snow days
  • Generous 401(k) match, quadrupling the first 6% contributed
  • 100% employer-paid medical, dental, vision, life, and disability insurances
  • $5,250 annual education assistance for training and certifications
  • Spot bonuses for certifications and customer recognition
Full Job Description
Software Engineer I (AI Focus)

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

About this Role

You will develop and refine the software that integrates cutting-edge AI capabilities into critical workflows, supporting analysts and operators who depend on intelligent tools to accomplish their missions. Working under the guidance of senior engineers, you'll take ownership of building agentic integrations that leverage multiple AI models, APIs, and diverse data sources in production environments.

Your day-to-day work will involve developing Python-based agentic integrations and building tools within modern frameworks like PydanticAI, LangGraph, and DeepAgents. You'll navigate complex customer data ecosystems to identify and extract relevant information, then integrate those findings seamlessly with external APIs and MCP tools to enable scalable system interoperability. You'll interact directly with mission stakeholders to elicit requirements and devise solutions that truly work in the field.

You won't work in isolation - collaboration is central to what we do. You'll partner with other software engineers to test workflows, identify issues, and recommend pathways for fixes. You'll also get comfortable presenting your data analysis results to customers, building their confidence in the solutions you're creating.

Throughout this role, you'll ensure that AI tools remain stable, reliable, and seamlessly integrated into the customer's existing toolset, even as you're learning from experienced mentors around you.

Requirements
  • 3+ years of professional software engineering experience (or 4+ years of relevant technical work in lieu of a bachelor's degree)
  • B.S. in a technical discipline (or equivalent professional experience)
  • Proficiency in Python, with hands-on experience handling JSON, interacting with REST APIs, and data manipulation
  • Experience leveraging HTTP-based APIs to access data through queries
  • Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling
  • Familiarity with software source control (Git) and the Atlassian tool suite (Jira, Confluence)
  • Ability to present data analysis results to customers
  • Active TS//SCI clearance with polygraph

Preferred Skills
  • Experience with agentic workflows and multi-agent orchestration
  • Basic knowledge of end-to-end SIGINT collection and analysis systems
  • Background in cybersecurity or understanding of security operations workflows
  • GitLab CI/CD automation
  • Experience with retrieval systems (RAG, vector databases, semantic search)
  • Familiarity with production CNO capabilities and operations
  • Practical experience in one or more artificial intelligence domains (e.g., intelligent systems, autonomy, planning, LLMs)
  • Familiarity with cloud computing technologies (AWS, Docker, Kubernetes)

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 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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