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AI Engineer

PretiusIkona lokalizacjiGlobalnie

Żródlo publikacji: JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano24 lipca 2026
Wykryte przez nas
Wykryte przez nas24 lipca 2026
Zarobki
Zarobki23 520 - 26 880 PLN

At Pretius, we are looking for an AI Engineer to a project in financial industry, international team. 

Project / Role

  • Standardize and deploy enterprise applications using emerging tech.

  • Integrate LLM capabilities into enterprise systems.

  • Focus on engineering and orchestration over model training or research.

  • Design and operate agentic AI services for tool and workflow orchestration.

  • Set technical direction and mentor engineering team members.

  • Define tool schemas and orchestration patterns, including human-in-the-loop.

  • Ensure reliability, security, and performance throughout the SDLC.

 

Requirements

  • 6+ years of professional software development experience.

  • Proven record of shipping production-grade RAG and agentic LLM applications.

  • Proficiency in Python.

  • Experience building and integrating RESTful and GraphQL APIs.

  • Expertise in distributed systems, concurrency, async I/O, and resiliency.

  • Solid SQL design, performance tuning, and migration skills.

  • Knowledge of vector and hybrid search.

  • Experience building LLM applications with prompt design and structured outputs.

  • Exposure to RAG ingestion pipelines, chunking, and retrieval strategies.

  • Familiarity with agentic frameworks (e.g., LangGraph, LangChain, Semantic Kernel).

  • Knowledge of LLM quality, hallucination mitigation, and safety guardrails.

  • Experience with model platforms like Azure OpenAI.

  • Knowledge of Azure services (Functions, Storage, AI Search).

  • Ability to design for production observability, logging, and metrics.

  • Experience in unit testing and building AI evaluation harnesses.

  • Hands-on experience with CI/CD, Docker, and Git.

 Nice to have

  • Experience with C#/.NET and ASP.NET Core integrations.

  • Familiarity with GraphQL.

  • Experience with hybrid search techniques.

  • Familiarity with emerging ecosystems like MCP, A2A, or ADK.

  • Experience building AI microservices for enterprise environments.

  • Work with event-driven architectures (Service Bus, Event Hubs).

  • Experience handling tax or enterprise document corpora.

  • Knowledge of governance constraints such as PII and access control.

 

What do we offer?

  • We focus on long-term relationships based on fair principles and reliability.

  • Co-financing of the Multisport card and Medicover private healthcare.

  • Modern office available.

  • Team bonding activities, internal courses, conferences, certifications.

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