Build cutting-edge AI systems with real business impact at Riverflex, a company that develops intelligent solutions that blend modern software engineering with state-of-the-art language models and machine learning techniques.
Requirements
- 7+ years of software or ML engineering experience
- 2+ years working on GenAI/LLM-based products
- Strong Python engineering skills
- Solid understanding of ML and NLP/LLM fundamentals
- Hands-on experience building with LLMs, prompt chaining, and retrieval-augmented generation (RAG)
- Familiarity with Model Context Protocol (MCP) standards
- Experience with orchestration and agentic frameworks
- Experience working in CI/CD environments with ML Ops tooling
- Deep understanding of API design, microservices, and distributed system architecture
- Experience deploying scalable workloads on cloud platforms
Benefits
- 25 days off per year
- Flexible remote work from abroad options for up to 6 weeks per year
- Learning & Development budget
- Classpass membership to support well-being
- Latest tech & tools, including home office budget and professional software subscriptions
- Equity share scheme to give long-term team members ownership in Riverflex