Senior AI Engineer
OPTIVEUM SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Warszawa
170 zł netto (+ VAT) / godz.
Wymagania
- AWS
- Microsoft Azure
- Google Cloud Platform
- LangGraph
- CrewAI
- AutoGen
Opis stanowiska
Nasze wymagania:
Education: Master’s Degree in Computer Science, Engineering, Data Science, or a related field.
Experience: 5+ years of proven experience building and deploying Machine Learning/AI solutions in a production environment.
Technical Core: Strong Python programming skills and scalable system development experience.
AI Expertise: Hands-on experience with Agentic AI (e.g., LangGraph, CrewAI, AutoGen) and Generative AI (LLMs, RAG, MCP).
System Design: Strong AI/ML system design skills, encompassing model selection, deployment, and monitoring.
Cloud Proficiency: Hands-on experience with AWS, Azure, or GCP.
Languages: Fluent English (B2/C1+), with strong communication skills for technical and business audiences.
Mile widziane:
Experience with A2A protocols, multi-agent systems, and agent reliability testing.
Understanding of AI safety, alignment, ethics, and familiarity with EU AI regulations.
Previous experience in highly regulated industries (e.g., banking, finance).
O projekcie:
Our client is a prominent international organization operating within the banking industry. They offer a collaborative, innovative environment rooted in a Scandinavian organizational culture, focusing on delivering sustainable, cutting-edge technology solutions.
The Role
As an AI Engineer, you will be responsible for designing, building, and scaling advanced Artificial Intelligence solutions. You will collaborate closely with both technical and business stakeholders to drive AI use cases from initial concept all the way through to production.
(Note: The original text contained a minor typo mentioning a "Pega Developer," but based on the extensive requirements, we have tailored this strictly for the AI Engineer role).
Zakres obowiązków:
End-to-End Development: Develop, prototype, and scale AI applications, moving them from Proof of Concept (PoC) to production.
GenAI & Agentic AI: Build solutions utilizing LLMs, RAG, MCP, and Agentic frameworks.
Integration: Connect AI models with vector databases, APIs, and enterprise systems.
Cloud Deployment: Deploy and monitor AI solutions on major cloud platforms (AWS, Azure, or GCP).
Compliance & Ethics: Ensure proper documentation, risk management, and promote ethical, responsible AI practices.
Mentorship: Guide team members and share best practices regarding Artificial Intelligence.
Oferujemy:
Salary: Up to 170 PLN/h net + VAT.
Contract Type: B2B agreement.
Type of Work: Hybrid (75% remote work / minimum 1 day a week from the office).
Location: Office hubs available in Warsaw, Gdańsk, or Łódź.
Education: Master’s Degree in Computer Science, Engineering, Data Science, or a related field.
Experience: 5+ years of proven experience building and deploying Machine Learning/AI solutions in a production environment.
Technical Core: Strong Python programming skills and scalable system development experience.
AI Expertise: Hands-on experience with Agentic AI (e.g., LangGraph, CrewAI, AutoGen) and Generative AI (LLMs, RAG, MCP).
System Design: Strong AI/ML system design skills, encompassing model selection, deployment, and monitoring.
Cloud Proficiency: Hands-on experience with AWS, Azure, or GCP.
Languages: Fluent English (B2/C1+), with strong communication skills for technical and business audiences.
Mile widziane:
Experience with A2A protocols, multi-agent systems, and agent reliability testing.
Understanding of AI safety, alignment, ethics, and familiarity with EU AI regulations.
Previous experience in highly regulated industries (e.g., banking, finance).
O projekcie:
Our client is a prominent international organization operating within the banking industry. They offer a collaborative, innovative environment rooted in a Scandinavian organizational culture, focusing on delivering sustainable, cutting-edge technology solutions.
The Role
As an AI Engineer, you will be responsible for designing, building, and scaling advanced Artificial Intelligence solutions. You will collaborate closely with both technical and business stakeholders to drive AI use cases from initial concept all the way through to production.
(Note: The original text contained a minor typo mentioning a "Pega Developer," but based on the extensive requirements, we have tailored this strictly for the AI Engineer role).
Zakres obowiązków:
End-to-End Development: Develop, prototype, and scale AI applications, moving them from Proof of Concept (PoC) to production.
GenAI & Agentic AI: Build solutions utilizing LLMs, RAG, MCP, and Agentic frameworks.
Integration: Connect AI models with vector databases, APIs, and enterprise systems.
Cloud Deployment: Deploy and monitor AI solutions on major cloud platforms (AWS, Azure, or GCP).
Compliance & Ethics: Ensure proper documentation, risk management, and promote ethical, responsible AI practices.
Mentorship: Guide team members and share best practices regarding Artificial Intelligence.
Oferujemy:
Salary: Up to 170 PLN/h net + VAT.
Contract Type: B2B agreement.
Type of Work: Hybrid (75% remote work / minimum 1 day a week from the office).
Location: Office hubs available in Warsaw, Gdańsk, or Łódź.
🔍 Dekoder Ogłoszenia
🔴
proven experience building and deploying Machine Learning/AI solutions in a production environment
Oczekują, że kandydat faktycznie wdrażał i utrzymywał modele ML/AI w działającym systemie, a nie tylko tworzył prototypy.
🟡
scalable system development experience
Może oznaczać zarówno doświadczenie w budowaniu systemów, które potrafią obsłużyć duży ruch, jak i po prostu umiejętność pisania kodu, który nie zawali się pod obciążeniem.
🟡
strong communication skills for technical and business audiences
Będziesz musiał tłumaczyć skomplikowane zagadnienia techniczne na język zrozumiały dla osób nietechnicznych.
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collaborative, innovative environment rooted in a Scandinavian organizational culture
Może oznaczać zarówno dobrą współpracę i nowoczesne podejście, jak i potencjalnie mniej hierarchiczną strukturę, która może być wyzwaniem dla niektórych.
🟢
focusing on delivering sustainable, cutting-edge technology solutions
Oczekuje się, że rozwiązania będą nie tylko nowoczesne, ale także długoterminowo opłacalne i łatwe w utrzymaniu.