At Param Group, we are engineering the group’s central platform on a cutting-edge tech stack, from microservices and streaming to applied AI, to deliver speed, reliability, and intelligence.
We’re now hiring an AI Engineer. You’ll collaborate closely with Product Analysts and Product managers to turn ideas into clear user stories, design and deliver AI-powered features end to end, and drive work across the software development lifecycle - prioritizing, implementing, testing, and deploying solutions that make a real impact.
What You’ll Do
Develop AI-powered Python applications combining LLMs, automation workflows, and Twisto’s fintech platform.
Translate business requirements into scalable, maintainable technical solutions using clean coding principles (SOLID, YAGNI).
Prototype and iterate quickly, then deliver production-ready software with robust testing.
Mentor and coach teams on AI technologies, software design patterns, and automation best practices.
Integrate with APIs (REST, GraphQL) and work with SQL, NoSQL, and vector databases.
Contribute to AI adoption by building reusable components, templates, and technical guidelines.
Work with cloud infrastructure (AWS/GCP/Azure), Kubernetes, Docker, Terraform, and CI/CD pipelines for deployment.
Collaborate with cross-functional stakeholders to identify high-value AI automation opportunities and design practical solutions.
Participate in Agile development with 14-day sprints, code reviews, and regular team syncs.
What We Offer
Meaningful work & impact - Your solutions will shape Param Group’s AI strategy and directly influence our products and internal processes.
Flexibility - Fully remote; an office is available if you’re near one of our locations (Prague or Warsaw).
Learning culture - Work alongside fintech experts, experiment with new tech, and keep growing.
Modern tech stack - Python, Django, Kubernetes, Docker, Terraform, AWS/GCP, Grafana, Firebase, LLMs, and AI automation tools.
Experience: 4-5+ years in software engineering, with strong expertise in Python and its AI/data science ecosystem.
AI expertise: Hands-on experience with modern LLMs (OpenAI, Anthropic, Gemini, or open-source), AI frameworks (LangChain, LlamaIndex), and automation tools.
Backend skills: Proficiency with Django or similar frameworks, SQL (PostgreSQL/MySQL) & NoSQL databases, and API development.
Vector database knowledge is a plus.
DevOps familiarity: Docker, Kubernetes, Terraform, CI/CD workflows.
Cloud experience: AWS, GCP, or Azure.
Business mindset: Ability to quickly grasp new domains and design AI solutions that create measurable impact.
Mentorship & communication skills: Capable of explaining complex technical concepts and guiding teams through adoption of new technologies.
Language: Fluent English; Czech is a plus.