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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
Small team (1-10 people)

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Project overview

You will work on building production grade multi agent AI systems within a multi tenant SaaS environment. The project focuses on designing advanced agent orchestration patterns, enabling reliable AI workflows, and delivering scalable solutions used by real customers.

Position overview

We are looking for a Senior AI Engineer to design and build production grade multi agent AI systems in a multi tenant SaaS environment. You will take ownership of AI solutions across the full lifecycle, from architecture and implementation to evaluation, deployment, and continuous optimization, ensuring reliability, scalability, and high quality outputs. This role requires a senior hands-on builder with deep experience shipping production LLM systems to real users, not only prototypes or proof-of-concept solutions.

Technology stack

AWS, LangGraph, LangChain, MCP, OpenAI, Amazon Bedrock AgentCore, Arize, LangSmith, Braintrust, A2A protocols

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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We offer

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Vacation

As per the laws of your country. We do ask you to take a proper rest

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Health insurance

We help you to take out an insurance policy for you and your loved ones

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Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

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Time off for state holidays

According to the official calendar, regardless of the client’s schedule

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Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

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Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract
Most wanted
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FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

Learn more about what we do here.

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

Learn more about how we work here.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

Read more about our culture and values.

There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

Learn how we support both newcomers starting their careers and experienced professionals looking to grow further.

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

Read more about how things work at DataArt.

At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

Learn more about our company >here.

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here.

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

Read more about development in DataArt.

At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.

Explore how we support your growth.