J

Jaxon

Formal-logic AI validation for LLMs

Full-Stack Python Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Demonstrate solid frontend development experience, particularly with data-intensive applications, and be comfortable showing leadership on frontend design best practices.
  • Be familiar with machine learning models and how they work and are used.
  • Have experience with Python and the Python machine-learning ecosystem and large language models.
  • Have proven expertise in building machine-learning applications.
  • Be proficient in Python, including demonstrable experience with libraries relevant to data manipulation.
  • Ideally have some experience with machine learning, particularly natural language processing applications.
  • Have at least 2 years of equivalent professional or military experience.
  • A bachelor's degree in Computer Science or a similar field is preferred, but is not required; applicants without degrees are encouraged to apply if they have at least 5 years of experience.
  • Be comfortable being customer-facing when needed.

Responsibilities

  • Build applications powered by the company's artificial intelligence platform, including frontend work and interfacing with backend systems.
  • Design and implement intuitive, responsive applications using frontend technologies such as Dash.
  • Integrate frontend applications with a Python backend and RESTful APIs connecting to the company's services.
  • Shape the platform's design and technical direction, propose and implement technologies, and drive decisions affecting user satisfaction and product scalability.
  • Ensure products deliver high performance, scalability, and a fluid user experience for engineers and data scientists performing model deployment, evaluation, and visualization.
  • Work with cross-functional teams to integrate machine-learning models into existing systems and workflows.
  • Develop primarily while supporting customer-facing work when needed.

Desired Qualifications

  • Experience with the Dash framework, or willingness to learn it.
  • Comfort with frontend state-management libraries such as Redux and MobX.
  • Knowledge of React or a similar frontend framework.
  • Experience using Figma in a design and implementation workflow.
  • Familiarity with TypeScript and JavaScript.
  • Familiarity with CSS and SASS or SCSS.
  • Knowledge of artificial intelligence and machine-learning techniques.
  • Active security clearance.

About the Company

Jaxon

Formal-logic AI validation for LLMs

Jaxon provides AI trust and verification for high-stakes sectors using Domain-Specific AI Logic (DSAIL). Its platform applies formal constraints and logic-based rules to verify LLM outputs, functioning like an AI fact-checker that works with any model and can run in the cloud or on premises, including air-gapped environments. Unlike traditional approaches that rely on probability estimates, Jaxon uses formal methods to prove the accuracy of AI results and translates complex policies into machine-readable logic for compliance, risk, and policy reviews. Its goal is to give decision-makers in defense, national security, finance, insurance, and life sciences unwavering confidence in AI for mission-critical tasks.

Company size
11-50
Company stage
Grant
Total funding
$3.5M
Headquarters
Boston, MA
Founded
2017

Recently Posted Jobs

Explore more opportunities at Jaxon

See more jobs