Senior AI Engineer
- Ałmaty
- Astana
- Belgrad
- Charków
- Dnipro
- Erywań
- Kijów
- Kluż-Napoka
- Kraków
- Larnaka
- Łódź
- Lublin
- Lwów
- Odesa
- Remote.Bulgaria
- Remote.Georgia
- Remote.Kazakhstan
- Remote.Poland
- Ryga
- Sofia
- Tbilisi
- Warna
- Warszawa
- Wrocław
Jeśli otrzymałeś tę ofertę pracy od naszych rekruterów, zapoznaj się z naszą Polityką prywatności.
Project overview
Position overview
Technology stack
Responsibilities
- Design and build production grade multi agent AI systems for real world usage
- Develop end to end AI solutions from requirements definition through architecture design and deployment
- Implement agent orchestration using LangGraph or LangChain
- Design supervisor and specialist routing, agent to agent communication, and human in the loop workflows
- Design and integrate domain-specific MCP servers and external tools into agent workflows
- Build and maintain evaluation frameworks including offline and online quality monitoring
- Monitor system performance and optimize reliability, latency, quality, safety, and operational costs
- Implement observability pipelines including tracing, prompt and output logging, and evaluation tracking
- Collaborate with Product Managers and engineering teams to refine requirements and deliver production ready solutions
- Independently propose architectures, evaluate trade offs, and drive implementation with limited supervision
Requirements
- Proven experience building and operating production LLM systems used by real customers
- Ability to clearly describe a specific production LLM or agentic system personally built and shipped
- Experience designing AI systems end to end from architecture to deployment
- Hands on experience with multi agent architectures and orchestration
- Experience with LangGraph or LangChain
- Experience implementing multi agent orchestration and agent to agent communication
- Experience with tool calling and MCP integration, including domain-specific MCP servers
- Experience building human in the loop workflows
- Experience designing evaluation frameworks including golden datasets, offline evaluations, online monitoring, and LLM as a judge
- Experience measuring regressions and making engineering decisions based on evaluation results
- Experience implementing AI observability including tracing, logging, evaluation pipelines, and latency monitoring as well as guardrail monitoring
- Experience working with production AI systems in AWS environments with a focus on reliability, scalability, and cost optimization
- Ability to independently drive technical decisions and deliver solutions with minimal supervision
- English working proficiency
Nice to have
- Experience with Amazon Bedrock AgentCore
- Experience with OpenAI APIs
- Familiarity with Arize, LangSmith, or Braintrust
- Experience with A2A communication protocols
- Experience working with retrieval systems
- Experience building conversational AI systems
Looking for Similar Opportunities?
Co oferujemy
Dni wolne
Zgodne z lokalnym prawem
Dbamy o Twoje zdrowie
Zapewniamy szeroki wachlarz usług w ramach prywatnego ubezpieczenia medycznego
Płatne chorobowe
Zgodnie z lokalnym prawem
Wakacje i specjalne dni wolne
Zgodnie z oficjalnym kalendarzem, niezależnie od kalendarza klienta
Komfortowe warunki pracy
Elastyczny czas pracy oraz pomoc w wyposażeniu komfortowego miejsca pracy
Wewnętrzna platforma edukacyjna
Dostęp do profesjonalnych kursów i szkoleń
Wewnętrzne kursy języka angielskiego
Firmowe szkolenia z wysoko wykwalifikowanymi nauczycielami
