AI/LLM Engineer
Red Cell Partners
Python
AI/LLM Engineer
Defcon AI
contract
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
Python
About the role
- Turn fuzzy ideas into working prototypes and then into reliable, scalable systems that create real value.
- Tackle open-ended AI problems: clarify goals, propose approach options, and choose sensible trade-offs.
- Stand up end-to-end workflows — from data wrangling and evaluation through deployment and monitoring.
- Build quick experiments and MVPs to de-risk unknowns, then harden them for production.
- Create lightweight tooling that helps others explore, test, and iterate on AI features.
- Work across teams (security, infra, product, domain experts) to ship responsibly in real-world and sensitive contexts.
- Document decisions, assumptions, and risks so others can build on your work.
Requirements
- U.S. citizenship.
- Solid software fundamentals and strong Python skills; you write clear, maintainable code and tests.
- 2–5 years of hands-on experience building and shipping ML/AI or NLP-driven features (titles less important than impact).
- A generalist mindset: ability to learn unfamiliar libraries, models, or stacks quickly and pick appropriate sophistication.
- Practical evaluation chops: design metrics, create test sets, and determine when something is sufficient for pilot vs needs more rigor.
- Data instincts: comfortable sourcing, cleaning, labeling, and shaping both structured and unstructured data.
- Bias for action and ownership in fast-moving, resource-constrained settings.
- Thoughtful approach to safety, privacy, and policy constraints.
- (Nice to have) Experience building knowledge- or retrieval-oriented applications.
- (Nice to have) Exposure to edge or low-resource deployments.
- (Nice to have) Comfort interfacing with stakeholders and non-technical users.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonmachine learningartificial intelligencenatural language processingdata wranglingMVP developmentmetrics designdata cleaningdata labelingdata shaping
Soft skills
generalist mindsetbias for actionownershipthoughtful approachinterfacing with stakeholderscommunicationcollaborationproblem-solvingadaptabilitydocumentation