About us

Prometeo Talent is the #1 Recruitment Agency in America and Europe 🌎✨, connecting companies with top tech and engineering talent.

We’re partnering with a venture-backed startup led by serial entrepreneurs and security experts, backed by investors and advisors from Sierra.ai, Databricks, Netflix, Mozilla, and Semgrep.

They’re building AI-native security tools that automate design reviews and threat modeling, helping teams ship secure software faster. 🚀🔐
📍 Hiring in Poland, Slovakia, or Czech Republic.

Our Proposal

Our client is developing AI-native security tools that automate security design reviews and threat modeling—helping engineering teams ship secure software faster, without the endless meetings and spreadsheets. You’ll be joining a small, expert team working at the cutting edge of AI, code analysis, and secure-by-design systems.

We’re seeking a Back-end Engineer eager to grow into the world of AI. If you’re driven, curious, and ready to expand from back-end development into machine learning and large language models (LLMs), this is the opportunity for you.

In this role, you’ll collaborate directly with the founding team to build systems that extract, transform, and model complex codebases into graph-based architectural representations. Over time, you’ll help push the boundaries of semantic code understanding, inference models, and AI-driven security tooling.

Requirements

• 5+ years building SaaS products, ideally for enterprise customers
• Experience with async programming in Python (e.g., asyncio)
• Strong experience integrating with third-party APIs and building APIs (FastAPI preferred)
• Experience working with AI model APIs such as OpenAI, Anthropic, or Hugging Face
• Knowledge of performance optimization techniques: caching, rate limiting, profiling, and load handling
• Proficient in SQL (ideally PostgreSQL)
• Proficient working with cloud environments (AWS preferred)
• Experience using infrastructure-as-code tools like Terraform
• Familiar with containerized development using Docker
• Solid understanding of modern engineering practices: CI/CD pipelines, testing strategies, Kanban workflows, and infrastructure as code
  
  

  Nice to have

• Experience working with vector databases (e.g., pg_vector).
• Familiarity with LLM fine-tuning, embeddings, and prompt engineering.
• Experience programmatically integrating with developer tools (e.g., Jira,
  GitHub, GitLab, AWS).
• Experience with OAuth, JWT, SAML, and other authentication protocols.
• Experience with serverless architectures (e.g., AWS Lambda).

What do we offer?

✨ Competitive pay 
🌍 100% remote
🌱 Budget to set up your home office
🤖 Opportunity to work at the frontier of AI, code analysis, and secure-by-design systems.
🙌Team-building company trips once or twice a year