AI Engineer – GenAI & Cloud (f/m/x)

Technologies we use

Expected

• AI/ML
• Python
• LangChain/LangGraph
• Cloud Computing
• GenAI

Optional

• AWS
• GCP
• Microsoft Azure

About the project

We need engineers who build AI systems that work outside of a Jupyter notebook. You’ll take architectures designed for real problems and turn them into production services — reliable, observable, and cost-efficient. Your day-to-day will involve writing Python, wiring up cloud infrastructure, and solving the unglamorous problems that make AI actually useful: data quality, latency, evaluation, and deployment.

You’ll work across the generative and classical AI stack — building knowledge-grounded AI systems, integrating LLMs into applications, training and deploying traditional ML models, and keeping it all running in production on Azure, AWS, or GCP.

This is how we organize our work

This is how we work

• you have influence on the technological solutions applied
• you have influence on the product
• you focus on product development
• you focus on code maintenance
• agile

Team members

• backend developer
• technical leader
• architect
• devOps
• data scientist
• product owner

Your responsibilities

• Build and deploy knowledge-grounded AI systems end-to-end: data ingestion, chunking, embedding pipelines, retrieval logic, re-ranking, and response generation
• Develop agentic applications — tool integrations, planning loops, memory management, guardrails — using frameworks like LangGraph, LangChain, Semantic Kernel, or equivalent
• Implement and maintain ML pipelines for classical use cases: prediction, classification, recommendation, and optimization models
• Deploy and optimize model serving infrastructure: API endpoints, batching, caching, GPU utilization, and cost management across cloud environments
• Write clean, tested, production-grade Python — not prototype code that someone else has to rewrite
• Build evaluation and monitoring pipelines: automated quality checks, drift detection, latency tracking, and human-in-the-loop feedback loops
• Work with cloud-native AI services on at least one major platform (Azure, AWS, or GCP) to implement scalable solutions
• Collaborate with AI Architects on technical design and with data engineers on data availability and quality

Our requirements

• At least 4 years in software or ML engineering, with hands-on experience shipping AI/ML systems to production
• Strong Python skills — not just scripting, but writing maintainable, tested code for production services
• Practical experience with AI/ML frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent
• Working knowledge of at least one major cloud platform (Azure, AWS, or GCP) and its AI/ML services
• Experience with vector databases, embedding models, and retrieval systems in real-world applications
• Familiarity with MLOps fundamentals: model versioning, experiment tracking, CI/CD for ML, and monitoring
• Ability to work autonomously while collaborating effectively with architects, data engineers, and product teams
• Fluent English (both written and spoken)
• Fluent Polish required
• Residing in Poland required

Optional

• Experience fine-tuning LLMs (LoRA, QLoRA) or working with model training pipelines
• Background in classical ML — scikit-learn, XGBoost, time series forecasting, or recommendation systems
• Experience with containerized deployments (Docker, Kubernetes) and infrastructure-as-code
• Contributions to open-source AI/ML projects or published technical writing

What we offer

• Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas
• Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market
• We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022
• Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more
• Comfortable workplace – class A offices or remote work
• Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application
• PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers
• Investment in your growth – meetups, webinars, training platform and technology blog – you choose
• Fantastic atmosphere created by all Sii Power People

This is how we work on a project

• code review
• Continuous Integration
• DevOps
• active monitoring
• documentation
• test automation
• unit tests

Development opportunities we offer

• external training
• mentoring
• technical knowledge exchange within the company

Recruitment stages

• Send your CV
• Talk to us about your expectations
• Learn more about our projects and choose the best
• Start your adventure with Sii!

What we offer:

AI Grant — Stop talking about AI and start building it. Our AI Grant gives you dedicated budget and resources to turn your wildest AI idea into a working project, backed by two paid weeks to focus on nothing else.

AI Center of Excellence — Work alongside specialists in agentic AI, sovereign AI, generative and discriminative AI. This isn’t a siloed team — it’s the people you’ll learn from and build with daily.

Your tools, your choice — Full access to AI-powered development tools including Claude, Cursor, and GitHub Copilot. Pick what works best for you.

Real project variety — From generative AI for legal document compliance through agentic systems in manufacturing environments to enterprise-scale AI platforms, computer vision, and autonomous driving. You won’t get bored.

Conference and speaking support — Want to attend conferences? We’ll back you. Want to speak at them? Even better — we’ll support you with dedicated preparation time and bonuses.

Sii Sp. z o.o.

Sii is the leading technology consulting, digital transformation, engineering, and business services vendor in Poland. We already employ more than 7 300 professionals and implement projects in a variety of industries for clients from many countries around the world. The Great Place to Work title, won 10 times in a row, proves that at Sii, we create a friendly work environment.

Sii ensures that all employment-related decisions are made solely on the basis of qualifications and competencies. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promoting a diverse and inclusive work environment.

This is how we work