Data Scientist

About the role

We're looking for a Senior AI Engineer with a strong data science foundation who has made the transition into building production GenAI and agentic systems. You'll lead the design and delivery of LLM-powered applications end to end — from problem framing through deployment — and serve as a technical anchor for the team.

What you'll do

• Design and build end-to-end GenAI applications: RAG systems, agentic workflows, tool-using assistants, and multi-agent orchestration
• Own architecture decisions across model selection, retrieval design, orchestration, and serving — balancing cost, latency, and quality
• Establish evaluation frameworks, observability, and guardrails to make AI systems reliable and safe in production
• Partner with product and business stakeholders to translate ambiguous problems into scoped, high-ROI AI solutions, and to judge when GenAI is (and isn't) the right tool
• Set technical standards, review designs and code, and mentor mid-level data scientists and engineers

What you need

• 18–20 years in data science & ai
• CI/CD
• Docker
• Machine learning
• SQL
• LLMs
• Python
• Any graduate

Good to have

• ETL
• Terraform
• Kubernetes
• Pandas
• Scikit-learn
• Prompt engineering