Our team’s focus is on creating scalable solutions that handle multi-step processes and deliver structured, reliable, and consistent outputs to end users.
To build intuitive user interfaces where complex information is transformed into clear, actionable insights, with high demands on quality, traceability, and standardization.
Key tasks
- Design and implement multi-agent AI architectures for complex workflows
- Build solutions that decompose advanced processes into structured, automated steps
- Ensure high quality, consistency, and reproducibility of AI-generated outputs
- Develop orchestration logic for collaboration between multiple AI models and system components
- Work with prompt engineering, agent orchestration, and control mechanisms
- Develop user-centric interfaces for analysis and decision support
- Implement traceability, auditability, and data quality mechanisms
- Collaborate with business and technical teams to translate needs into robust technical solutions
Qualifications
- Several years of experience in AI/ML development, preferably with a focus on generative AI
- Proven experience building agent-based or orchestrated AI solutions
- Strong programming skills in Python and experience with modern AI frameworks (e.g., LangChain, Semantic Kernel, LLM APIs)
- Experience designing distributed systems and microservice architectures
- Solid understanding of data modeling, information flows, and system integration
- Experience working with both structured and unstructured data
- Hands-on experience with validation, testing, and quality assurance of AI systems
Nice to Have
- Experience working in environments where reliability, precision, and documentation are critical
- Familiarity with rule-driven or highly controlled process environments
- Experience designing UI/UX for analytical or investigation-driven workflows
- Knowledge of MLOps, CI/CD for AI systems, and model monitoring
Personal Attributes
- Analytical and structured problem solver
- Ability to combine technical excellence with business understanding
- Strong communication skills, able to explain complex AI concepts clearly
- Detail-oriented with a strong focus on quality and consistency
- Thrives in environments where innovation meets high demands for robustness
