Senior AI Engineer
- Almaty
- Astana
- Belgrade
- Cluj-Napoca
- Dnipro
- Kharkiv
- Krakow
- Kyiv
- Larnaca
- Lodz
- Lublin
- Lviv
- Odesa
- Remote.Bulgaria
- Remote.Georgia
- Remote.Kazakhstan
- Remote.Poland
- Riga
- Sofia
- Tbilisi
- Varna
- Warsaw
- Wroclaw
- Yerevan
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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
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Vacation
As per the laws of your country. We do ask you to take a proper rest
Health insurance
We help you to take out an insurance policy for you and your loved ones
Sick pay
10 days without a doctor's note, afterwards - as per the laws of your country
Time off for state holidays
According to the official calendar, regardless of the client’s schedule
Pleasant environment
Two large corporate parties and many small get-togethers for colleagues
Comfort service
Solving technical and everyday problems at work
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