Uvik Software

We are looking for 2 experienced Data Engineers to join an international project focused on ETL modernization, workflow orchestration, and migration to modern data platforms.

The role involves redesigning and optimizing existing ETL processes, converting T-SQL logic into scalable Spark/Databricks solutions, and improving overall data pipeline performance within a modern cloud-driven environment.

Project Details

• Start: August 2026
• Duration: Until December 2026+ (extension possible)
• Workload: Full-time
• Location: Vienna / Bratislava (hybrid) or remote with willingness to travel on-site regularly
• Language: Fluent English required; German is a strong plus

Responsibilities

• Rewrite and migrate existing ETL/ELT pipelines
• Convert complex T-SQL logic into Spark / Databricks jobs
• Design and maintain workflow orchestration processes
• Optimize data pipelines for scalability and performance (partitioning, caching, tuning, etc.)
• Collaborate across analysis, development, testing, and implementation phases
• Contribute to modern data engineering standards and best practices

Requirements

• Strong analytical mindset with the ability to move from business analysis to technical solution design and testing
• Strong hands-on experience with SQL and Python
• Solid experience with Spark and Databricks
• Experience building and maintaining ETL/ELT pipelines
• Experience with tools such as SSIS, Azure Data Factory, or Databricks Workflows
• Strong understanding of data transformation and performance optimization
• Proactive, solution-oriented working style
• Interest in modern technologies, standards, and forward-thinking approaches

We offer:

•  Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
•  Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

We are looking for an experienced AI Python Engineer to join our team and help build AI-powered products and intelligent automation solutions. This role is ideal for a strong backend engineer who has practical experience integrating LLMs and building AI-enabled applications rather than focusing solely on traditional Machine Learning research.

Responsibilities

• Design, develop, and maintain AI-powered applications and services.
• Integrate Large Language Models (OpenAI, ChatGPT, Claude, Llama, and similar technologies) into production systems.
• Build and optimize AI agents, workflows, and automation solutions.
• Develop backend services, APIs, and integrations using Python.
• Design and implement scalable AI-enabled product features.
• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
• Evaluate, improve, and optimize AI workflows and user experience.
• Stay up to date with the latest developments in the AI/GenAI ecosystem.

Requirements

• Strong commercial experience with Python backend development.
• Hands-on experience with Generative AI technologies and LLM integrations.
• Experience building AI-powered applications or products.
• Practical experience with OpenAI APIs or similar LLM providers.
• Experience working with AI agent frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or similar tools.
• Solid understanding of API development and integrations.
• Experience designing and implementing production-ready systems.
• Strong problem-solving and analytical skills.
• Ability to work independently and drive solutions from concept to implementation.

Nice to Have

• Experience with RAG (Retrieval-Augmented Generation) systems.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, ChromaDB, etc.).
• Cloud experience (AWS, Azure, or GCP).
• Experience with containerization and deployment (Docker, Kubernetes).
• Familiarity with AI evaluation, observability, and monitoring tools.

🚀 We are looking for an experienced AI Python Engineer to join our team and help build AI-powered products and intelligent automation solutions. This role is ideal for a strong backend engineer who has practical experience integrating LLMs and building AI-enabled applications rather than focusing solely on traditional Machine Learning research.

🎯 Responsibilities

* Design, develop, and maintain AI-powered applications and services.

* Integrate Large Language Models (OpenAI, ChatGPT, Claude, Llama, and similar technologies) into production systems.

* Build and optimize AI agents, workflows, and automation solutions.

* Develop backend services, APIs, and integrations using Python.

* Design and implement scalable AI-enabled product features.

* Collaborate with product, engineering, and business teams to deliver AI-driven solutions.

* Evaluate, improve, and optimize AI workflows and user experience.

* Stay up to date with the latest developments in the AI/GenAI ecosystem.

🧩 Requirements

* Strong commercial experience with Python backend development.

* Hands-on experience with Generative AI technologies and LLM integrations.

* Experience building AI-powered applications or products.

* Practical experience with OpenAI APIs or similar LLM providers.

* Experience working with AI agent frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or similar tools.

* Solid understanding of API development and integrations.

* Experience designing and implementing production-ready systems.

* Strong problem-solving and analytical skills.

* Ability to work independently and drive solutions from concept to implementation.

🧩 Nice to Have

* Experience with RAG (Retrieval-Augmented Generation) systems.

* Experience with vector databases (Pinecone, Weaviate, Qdrant, ChromaDB, etc.).

* Cloud experience (AWS, Azure, or GCP).

* Experience with containerization and deployment (Docker, Kubernetes).

* Familiarity with AI evaluation, observability, and monitoring tools.

🌍 What We Offer:

-Paid vacation and sick leave

-We provide the equipment you need to work comfortably (if required)

-We cover 50% of courses if you want to grow professionally

-Regular salary reviews based on your performance

-Competitive salary, depending on your experience

-Always on-time payments — no delays

-A normal, supportive team without unnecessary bureaucracy

We are looking for an experienced AI Python Engineer to join our team and help build AI-powered products and intelligent automation solutions. This role is ideal for a strong backend engineer who has practical experience integrating LLMs and building AI-enabled applications rather than focusing solely on traditional Machine Learning research.

Responsibilities

• Design, develop, and maintain AI-powered applications and services.
• Integrate Large Language Models (OpenAI, ChatGPT, Claude, Llama, and similar technologies) into production systems.
• Build and optimize AI agents, workflows, and automation solutions.
• Develop backend services, APIs, and integrations using Python.
• Design and implement scalable AI-enabled product features.
• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
• Evaluate, improve, and optimize AI workflows and user experience.
• Stay up to date with the latest developments in the AI/GenAI ecosystem.

Requirements

• Strong commercial experience with Python backend development.
• Hands-on experience with Generative AI technologies and LLM integrations.
• Experience building AI-powered applications or products.
• Practical experience with OpenAI APIs or similar LLM providers.
• Experience working with AI agent frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or similar tools.
• Solid understanding of API development and integrations.
• Experience designing and implementing production-ready systems.
• Strong problem-solving and analytical skills.
• Ability to work independently and drive solutions from concept to implementation.

Nice to Have

• Experience with RAG (Retrieval-Augmented Generation) systems.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, ChromaDB, etc.).
• Cloud experience (AWS, Azure, or GCP).
• Experience with containerization and deployment (Docker, Kubernetes).
• Familiarity with AI evaluation, observability, and monitoring tools.