{"@context":"https://schema.org/","@type":"JobPosting","title":"Data Scientist / Machine Learning Scientist

• Strong Python skills and production-grade coding experience
• Proven track record shipping LLM-powered systems (LangChain/LangGraph or similar) into production
• Hands-on experience with AI agents, agentic workflows, and multi-step reasoning
• Experience designing and implementing RAG systems with real-world impact
• Familiarity with MCP or similar orchestration patterns (FastMCP/FastAPI)
• Understanding of LLM limitations and trade-offs (hallucination, latency, cost)
• Cloud deployment experience (AWS, GCP, Azure)
• Masters or higher in Maths, Science, or Computer Science
• Ownership mindset, bias for action, and strong product focus
• Comfortable in fast-moving, ambiguous environments

Bonus Points:

• Experience with SaaS/B2B AI products or AI-driven business transformation
• Background in high-growth/scaling environments
• Evidence of systems delivering real value in production

• Design and build AI agents and agentic workflows powered by LLMs (retrieval, reasoning, tool orchestration)
• Develop multi-step intelligent systems for planning, memory, and real-world tool usage
• Deliver recommendation, classification, and forecasting systems on large-scale datasets
• Automate complex workflows and decision-making, driving measurable business impact
• Own problems end-to-end: from exploration to production deployment and iteration
• Integrate AI into products, APIs, and business processes for scalable, reliable solutions
• Collaborate with engineering to ensure robust, observable, and maintainable systems