Tech Lead AI Engineer
Tech Lead AI Engineer designing and building AI-powered applications for financial services clients: Python/FastAPI backends, GenAI with LLMs, RAG, embeddings, and agentic workflows (LangGraph, DeepAgent), using CosmosDB/PostgreSQL on Azure. Hybrid role based in Kraków, 3 days a week at the client's office.
- Compensation
- PLN 18.8K–PLN 28.9K / mo
- Location
- Not listed
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Contract
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- At least 5 years of experience with Python development
- Strong experience with FastAPI
- Hands-on experience with machine learning and model evaluation
- Experience with LLMs and Generative AI solutions
- Knowledge of prompt engineering, context anchoring, RAG, embeddings and vector databases
- Experience with agentic AI frameworks including LangGraph and DeepAgent
- Experience with MCP tool integration
- Strong understanding of AI system design
- Experience designing API-based architectures
- Knowledge of CosmosDB and PostgreSQL
- Experience working with Azure cloud services
- Experience with AI-assisted software development
- Strong understanding of computer science fundamentals
- Knowledge of modern software development practices and SDLC
- Strong communication and stakeholder management skills
- Ability to translate business requirements into scalable technical solutions
Nice to have
- Experience in the Client Lifecycle domain
Full description
Type of contract: Employment contract
Salary range: 18800 - 28900 PLN gross
What will you do?
You will join a team delivering large scale solutions for the financial services sector, supporting digital transformation, process automation, data integration, and application modernization initiatives. In this role, you will design and build AI-powered applications, collaborate with business and technology stakeholders, and contribute to the development of innovative solutions within a highly regulated environment.
Your tasks
- Design and develop AI-powered applications and services using Python and FastAPI
- Build and optimize GenAI solutions leveraging LLMs, RAG, embeddings and vector databases
- Create and maintain agentic AI workflows using LangGraph and DeepAgent frameworks
- Integrate MCP tools and external services into AI ecosystems
- Design scalable API-based architectures and backend services
- Develop and maintain solutions using CosmosDB and PostgreSQL
- Perform model evaluation and improve AI solution quality and reliability
- Collaborate with business and technology teams to translate requirements into technical solutions
- Apply modern software engineering practices throughout the SDLC
- Utilize AI-assisted software development techniques to improve delivery efficiency
Your skills
- At least 5 years of experience with Python development
- Strong experience with FastAPI
- Hands-on experience with machine learning and model evaluation
- Experience with LLMs and Generative AI solutions
- Knowledge of prompt engineering, context anchoring, RAG, embeddings and vector databases
- Experience with agentic AI frameworks including LangGraph and DeepAgent
- Experience with MCP tool integration
- Strong understanding of AI system design
- Experience designing API-based architectures
- Knowledge of CosmosDB and PostgreSQL
- Experience working with Azure cloud services
- Experience with AI-assisted software development
- Strong understanding of computer science fundamentals
- Knowledge of modern software development practices and SDLC
- Strong communication and stakeholder management skills