Informacje o stanowisku

Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!

Join us as an AI Engineer in an exciting project for a fast-growing tech company leading the way in Model Risk Management and AI Governance. Our clients SaaS platform enables organizations to govern and monitor algorithms with full transparency and regulatory compliance. 

The role includes monthly business trips to the client’s office in one of the Benelux countries, typically for a few days at a time.

• Willingness to travel to our client’s office in Europe.
• Practice with building and deploying contextual AI assistants. 
  
• Experience with LangChain or a similar AI integration framework.
• Previous backend engineering background (API, SQL, SaaS).
• Experience designing scalable abstractions across multiple LLM providers.
• Understanding of multi-tenant SaaS security and RBAC principles.

Nice to have

• Knowledge of AI governance and data privacy best practices.
  
• Familiarity with DevOps workflows (CI/CD, pipelines, deployments).

Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!

Join us as an AI Engineer in an exciting project for a fast-growing tech company leading the way in Model Risk Management and AI Governance. Our clients SaaS platform enables organizations to govern and monitor algorithms with full transparency and regulatory compliance. 

The role includes monthly business trips to the client’s office in one of the Benelux countries, typically for a few days at a time.

,[Delivering production-ready contextual AI assistants. , Orchestrating LLM-powered assistants in our SaaS product. Connect APIs, manage data flow, and ensure smooth backend/frontend integration and performance., Developing strategies for prompt templates, context injection, RAG pipelines, and embeddings to deliver accurate, user-aligned AI output across multiple LLM providers., Implementing provider-agnostic frameworks to switch between models and scale securely and flexibly., Ensuring AI assistants respect RBAC and privacy requirements in a multi-tenant SaaS environment. Requirements: Python, AI, LangChain, SQL, API, LLM, DevOps Tools: . Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Bike parking, Playroom, Free snacks, Free beverages, Free parking, Modern office, Startup atmosphere.

Praca Warszawa

Warszawa - Oferty pracy w okolicznych lokalizacjach