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SynthBee

Generates privacy-preserving synthetic data for AI

Software Developer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timePembroke Pines, FL, USANo salary listed

About the Job

Requirements

  • 5–8+ years of experience across data persistence layers such as MySQL and MongoDB, high-availability infrastructure such as Apache and Nginx, and user-centric design systems at scale.
  • Demonstrated root-cause analysis, debugging, and performance engineering skills for mission-critical distributed systems.
  • Ability to deliver cross-functional initiatives and align multidisciplinary teams with technical roadmaps.
  • Ability to engineer extensible infrastructure and foundational features that scale with evolving business requirements.
  • Ability to build highly reliable and horizontally scalable systems and establish rigorous code quality and design patterns.
  • Experience building CI/CD strategies, including deployment automation, testing strategies, automation tools, and processes to improve the software development lifecycle.
  • Experience operating continuous integration systems such as GitHub, Jenkins, CircleCI, Azure DevOps, or AWS CodePipeline.
  • Ability to design performance-testing strategies with cross-functional partners to monitor performance and ensure robust, secure deployments.
  • Ability to develop ML systems that comply with security and regulatory standards when handling sensitive data and critical applications.
  • Ability to define strategies for integrating agentic systems into complex engineering lifecycles and ensure AI models interpret and execute multistage workflows.
  • Ability to design human-in-the-loop and automated feedback systems that enable AI self-validation and correction of semantic or procedural misinterpretations in engineering design patterns.
  • Ability to align agentic reasoning with real-world application logic and preserve comprehension of constraints and interdependencies in physical engineering systems.
  • Ability to translate emerging trends in agentic autonomy and model reasoning into scalable internal frameworks and address divergence between AI automation, engineering intent, and safety standards.

Responsibilities

  • Participate in the design, development, and testing of foundational software supporting SynthBee’s Collaborative Intelligence platform.
  • Build infrastructure and applications that support key machine-learning initiatives and integrate them into the platform.
  • Write documentation for the software development process and support software reliability and alignment with business goals.
  • Collaborate with cross-functional teams to deliver machine-learning initiatives and support machine-learning-powered applications.
  • Assist in the design and architecture of software solutions that meet project requirements.
  • Operate continuous integration systems, including GitHub, Jenkins, CircleCI, Azure DevOps, and AWS CodePipeline.
  • Develop and maintain documentation for machine-learning systems, pipelines, and processes to support reproducibility and clarity.
  • Share technical insights and contribute to the team’s technical growth.
  • Stay current with front-end and back-end application technologies, frameworks, databases, and other technology tools.
  • Perform other related duties as assigned or directed.

About the Company

SynthBee

Generates privacy-preserving synthetic data for AI

SynthBee provides synthetic data solutions to help businesses train and evaluate AI models without exposing real data. It generates high-quality, anonymized datasets that preserve patterns and relationships in data while ensuring privacy compliance. By addressing data scarcity and privacy concerns, it enables safer AI development in sectors like healthcare, finance, and autonomous systems. Its goal is to accelerate AI adoption by offering privacy-respecting data for training and testing.

Company size
11-50
Company stage
Growth Equity (Venture Capital)
Total funding
$100M
Headquarters
Weston, FL
Founded
2022

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