Full Stack Developer (.NET + AI + Data Pipelines)

About Todata

Todata Analytics is building the future of decision intelligence. We help businesses make smarter, faster decisions by transforming raw, scattered data into clear, actionable insights—powered by a semantic layer and enhanced by AI chat.

Our flagship product, Grades, evaluates clients, employees, and locations using industry-specific KPIs, presenting performance in a report card-style interface. We're not just building dashboards—we're helping users deeply understand what their data is telling them.

The Role

We’re looking for a Full Stack Developer with strong experience in .NET (C#) and Python, who’s excited to build AI-driven applications grounded in real business data and domain logic. You’ll play a key role in expanding our user-facing platform, evolving our semantic API layer, and implementing modern LLM workflows that interact directly with our ELT pipelines and business data.

What You’ll Do

• Develop full stack features using C# and Blazor to support our AI chat and performance insights platform
• Build and extend APIs that interface with our semantic data model and support multi-tenant usage
• Implement integrations between LLMs and our ELT pipelines, using tools like LangChain or custom agents to navigate structured datasets
• Collaborate on building and maintaining ELT workflows that model, clean, and transform business data for analytics and AI consumption
• Create intelligent connectors to structured and semi-structured sources (e.g., dbt metadata, KPI definitions, client data summaries)
• Use Python to build agentic workflows and data-aware LLM applications that go beyond chat
• Contribute to front-end logic using Blazor and modern UI principles
• Ensure systems are robust, secure, scalable, and auditable
• Collaborate with analytics, product, and design teams to create a seamless experience for non-technical users

What We’re Looking For

• 3 years building full stack web applications
• Strong backend experience with C# (.NET Core), including API development and asynchronous processing
• Solid experience with Blazor or willingness to learn rapidly
• Proficiency in Python, especially for AI/LLM integrations
• Familiarity with ELT processes and tools like dbt or custom SQL-based transformation pipelines
• Exposure to LLM integration frameworks like LangChain, Transformers, or similar
• Good grasp of relational databases (PostgreSQL, MSSQL) and query optimization
• Understanding of data modeling concepts, dimensional modeling, and KPI frameworks
• Creative problem-solver who can think from the user’s perspective and deliver real business value
• Strong communication and collaboration skills

Nice to Have

• Experience building or consuming semantic layers
• Familiarity with Azure, CI/CD, and infrastructure-as-code
• Prior work on secure, multi-tenant SaaS architectures
• Knowledge of vector databases (e.g., Qdrant, Weaviate) or embedding workflows

If you're passionate about building intelligent, data-driven software with modern LLM integrations, and want to work with a small but ambitious team pushing the boundaries of business intelligence, we’d love to hear from you.