Satori Analytics

Business Analyst

• Understand the business: Work closely with client stakeholders to understand context, goals, and pain points — and challenge assumptions when needed.
• Translate into action: Turn business requirements into clear user stories and specifications that technical teams can implement.
• Align teams: Collaborate with Solution Architects, Developers, Data Engineers, and other stakeholders to ensure clarity and feasibility.
• Drive delivery: Support project planning, track progress, identify risks, and help ensure projects are delivered on time and on budget.
• Communicate clearly: Keep clients informed about progress, challenges, and next steps — even when things get complex.
• Map the landscape: Analyze current processes, data flows, and system architecture to identify gaps and opportunities.
• Measure success: Define KPIs and success criteria, track impact, and report results.
• Lead agile routines: Participate in (and when needed, facilitate) stand-ups, sprint planning, and retrospectives.
• Support growth: Contribute to documentation, training material, and knowledge sharing across the team.

AI Engineer

• Architect and build scalable, production-grade GenAI systems and services.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines end-to-end.
• Integrate and orchestrate LLMs (OpenAI, Anthropic, Google, or open-source models) in real-world applications.
• Build internal abstractions, SDKs, and reusable components for GenAI capabilities.
• Implement evaluation pipelines, guardrails, and monitoring for hallucination detection, drift, and quality control.
• Optimize inference performance, cost, token usage, and response latency.
• Design multi-step agent workflows and tool integrations safely and reliably.
• Lead the transition from experimentation to hardened production systems.
• Mentor engineers and establish best practices for GenAI engineering.
• Line management responsibilities – 1-2 bright junior engineers.

Senior AI Engineer

Data Engineer

• **What Your Day Might Look Like:**
• - **Collaborative Projects:** Work with Solution Architects, Developers, and Data Engineers to ensure seamless project execution.
• - **Innovative Development:** Create, enhance, and maintain ETL pipelines and SQL stored procedures for OLTP and OLAP systems.
• - **Cloud Transition:** Migrate on-premise databases to a modern, scalable cloud infrastructure while ensuring all automated tasks run smoothly.
• - **Dynamic Environment:** Embrace the fast-paced atmosphere where no two days are the same!

Business Analyst

Senior AI Engineer

Senior Data Engineer