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Full Stack Software Engineer; AI Focus

Job in Columbia, Howard County, Maryland, 21046, USA
Listing for: Bitwise
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Python, Backend Developer
Salary/Wage Range or Industry Benchmark: 282000 - 332000 USD Yearly USD 282000.00 332000.00 YEAR
Job Description & How to Apply Below

** 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.

What We Look For

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

You’ll be building and advancing a cutting-edge agentic platform designed to power intelligent, autonomous workflows. This is an opportunity to work at the forefront of AI-driven systems, shaping how agents operate, learn, and deliver impact in complex environments.

In this role, you’ll integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You’ll collaborate closely with cyber analysts to translate operational challenges into effective technical solutions, working hands-on with agentic primitives such as skills, prompts, and subagents to create adaptive and context-aware capabilities.

Your day-to-day will include:

  • Developing agentic integrations with Python that leverage multiple AI models, APIs, and data sources in production environments
  • Building tools and agentic workflows within modern frameworks like PydanticAI, Langgraph, and Deep Agents
  • Working directly with key stakeholders and cyber analysts to understand operational workflows and identify high-impact automation opportunities
  • Maintaining and troubleshooting a production-grade agentic platform Requirements
    • 12+ years of professional software engineering experience, with a strong focus on AI and NLP and strong Python proficiency
    • Bachelor's degree in a technical discipline (or 4+ additional years of professional experience in place of a degree)
    • Hands-on experience building and maintaining production applications servicing hundreds to thousands of users
    • Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling
    • Experience developing resilient, scalable stream processing applications using modern messaging and event-streaming platforms
    • Experience leveraging AI coding assistants for code generation, refactoring, debugging, and automation
    • Experience with software source control (git) and Atlassian tool suite (Jira, Confluence)
    • Experience with agentic workflows and multi-agent orchestration
    • Background in cybersecurity or understanding of security operations workflows
    • Managing deployments in AWS Cloud with Kubernetes
    • Experience with retrieval systems (RAG, vector databases, semantic search)
    • Analyzing cybersecurity-related data sets (network traffic, OS…
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