AI Engineer
⚲ Warszawa, Budapeszt, Bukareszt
20 160 - 23 520 PLN netto (B2B)
Wymagania
- Python
- Langgraph
- Langchain
- Azure
- RAG
- SDLC
- Docker
- CI/CD
- LLM
- Git
Opis stanowiska
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.
• Define tool schemas and orchestration patterns, including human-in-the-loop.
• Ensure reliability, security, and performance throughout the SDLC.
Requirements
• 4+ 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.
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.
• Define tool schemas and orchestration patterns, including human-in-the-loop.
• Ensure reliability, security, and performance throughout the SDLC.
Requirements
• 4+ 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.
🔍 Dekoder Ogłoszenia
🟡
Focus on engineering and orchestration over model training or research.
Oznacza to, że główny nacisk będzie położony na wdrażanie i zarządzanie istniejącymi modelami AI, a nie na tworzenie nowych lub prowadzenie badań nad nimi.
🟡
Proven record of shipping production-grade RAG and agentic LLM applications.
Wymaga doświadczenia w dostarczaniu gotowych do produkcji aplikacji opartych na LLM, co sugeruje, że nie jest to rola dla początkujących w tej dziedzinie.
🔴
Standardize and deploy enterprise applications using emerging tech.
Może oznaczać pracę z nowymi, ale potencjalnie niestabilnymi technologiami, które wymagają ustandaryzowania i wdrożenia w dużych systemach.
🟡
Design and operate agentic AI services for tool and workflow orchestration.
Sugeruje, że będziesz odpowiedzialny za tworzenie i utrzymanie systemów AI, które automatyzują zadania i procesy, co może być złożone i wymagać ciągłego monitorowania.
🟡
Define tool schemas and orchestration patterns, including human-in-the-loop.
Oznacza projektowanie sposobu, w jaki narzędzia AI będą działać i integrować się z ludzkimi procesami, co wymaga przemyślenia interakcji człowiek-maszyna.