We’re looking for candidates with strong experience in the design, architecture, and coding of cloud-native software who want to move further — towards building machine learning products and designing data science and generative AI solutions on top of large language models (LLMs).

We call it a transformative position: you’ll bring your current software engineering skills and best practices to the table and, at the same time, grow deeper into AI, data science, and LLM-based product development.

We build modern, cloud-first software solutions with a focus on agility, scalability, and automation. Everyone on the team has a strong voice and can influence the direction of our products. If you love clean code, think in systems and architectures, and want to help shape robust applications that serve thousands of users, you’re in the right place.

In your daily work, you will

• Design, build, and operate modern, high-performance APIs using Python and asynchronous frameworks
• Architect and develop distributed, microservices-based systems and ensure reliable inter-service communication
• Implement robust asynchronous processing for high-throughput background workloads
• Containerize services and run them at scale using orchestration platforms to ensure reliability and elasticity
• Optimize performance across the stack: database design and queries, caching strategies, and application logic
• Build and productionize AI features, including LLM-powered components (e.g., retrieval-augmented generation, tool use, prompt and system design, evaluation, and monitoring)
• Integrate cloud AI services and LLMs into backend services with attention to cost, latency, safety, and observability
• Collaborate with data scientists and ML engineers to turn prototypes into maintainable, production-ready systems
• Improve code quality via code reviews, standards, testing practices, and automation
• Propose and implement cloud infrastructure changes that improve reliability, security, and developer productivity
• Mentor teammates, share knowledge, and bring best practices to the team

Qualifications

What is obligatory

• Enthusiasm for AI and data science, including generative AI and building solutions on top of LLMs
• Ability to design, implement, and reason about complex, scalable systems end to end
• 2+ years of coding experience (preferably Python), including concepts like asynchronous programming, microservices, and software design patterns
• Hands-on experience with CI/CD automation, deployments, containerization, load balancing, and monitoring
• Solid experience with relational databases (we use PostgreSQL), including schema design and efficient queries
• Practical experience with caching (e.g., Redis) and when to use it
• Experience with cloud platforms
• Keen to grow in any of the above areas you might be missing
• Czech and English at full professional proficiency (you will communicate with non‑Czech speakers daily)

What we appreciate

• Experience from a startup or fast-growing product environment
• Ability to understand and use functional programming concepts pragmatically
• Experience working with data-oriented or analytics teams
• Expertise in setting up and managing data storage solutions (data warehouses, data lakes) and feature stores
• Experience with infrastructure-as-code (e.g., Terraform)
• Familiarity with messaging systems (e.g., Kafka)
• Experience building LLM applications (e.g., RAG pipelines, prompt engineering, evaluation/guardrails, vector search)
• Experience running apps on managed Kubernetes platforms (AKS, EKS, GKE)

If you’re excited about building reliable, scalable backend systems and turning AI — including LLMs — into real, production-ready products, we’d love to hear from you.

Good-to-know about Dataclair

In short, we do AI. In full, we do AI to make the world a better place.

We are strong advocates of fair machine learning in a business environment. We implement and deploy our ethical AI algorithms so that they elevate human condition, improve quality of life, and generate significant profits at the same time. 

Dataclair has been founded by the biggest Czech telco operator O2 as a centre of AI R&D and business application in telco, finance and pharma. It combines the best of both the corporate and startup worlds – a stable working environment, inspirational colleagues and bold mission. 

Our website: www.dataclair.ai 

We can offer you

• You will be in touch with the latest technologies and new trends
• Contribution to a work mobile phone of your choice up to CZK 18,000
• Cafeteria 18,000 points
• Meal allowance CZK 115/work day
• Recharge break - after every 5 years of employment, employees are entitled to an additional 20 days of paid leave
• 25 days of vacation
• 3 sick days
• Unlimited employee tariff
• Discounted O2 TV and home internet
• Discounted language courses
• O2 offers a wide range of other benefits. You can find a list of all benefits at: https://kariera.o2.cz/benefity