Senior Software Engineer – AI

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SqlDBM

51 - 200 employees

Founded 2017

☁️ SaaS

🤝 B2B

🏢 Enterprise

💰 $15M Series B - SqlDBM on 2024-03

SaaS • B2B • Enterprise

SqlDBM is a cloud-first data modeling platform that lets teams design, document, govern and monitor database schemas and semantic layers for modern cloud data platforms. The platform advertises support and integrations for Snowflake, Databricks, BigQuery, Azure Synapse and Amazon Redshift, and includes features such as schema monitoring, model governance, AI Copilot assistance, and integrations with tools like Confluence and Jira. It positions itself as a team-focused SaaS product that spans schema to semantic layer and is aimed at organizations building analytics and data platforms.

📋 Description

• You will own and extend the backend systems that power SqlDBM's AI capabilities. • Specific areas include: AI-assisted data modeling workflows — backend services that allow users to describe their data needs in natural language and receive accurate, governed schema output • Context-aware intelligence — systems that use the full richness of a user's data model, naming standards, and governance rules to produce AI output that is specific to their environment, not generic • Automated documentation and metadata generation — AI pipelines that analyze existing schemas and produce accurate, consistent business documentation at scale • Integration with enterprise AI ecosystems — API layers that allow external AI agents and tools to call SqlDBM as a trusted source of schema context • Consumption tracking and orchestration — backend infrastructure that manages AI request routing, model selection, cost optimization, and usage metering • Governance-aware AI workflows — systems that embed approval, validation, and compliance logic into AI-generated outputs before they reach production • MCP server development — building and extending SqlDBM's Model Context Protocol server so that external AI agents and LLM-based tools can use SqlDBM as a trusted, real-time schema authority

🎯 Requirements

• 5+ years of backend engineering experience with C# and .NET • Strong understanding of REST API design and asynchronous service architectures • Experience integrating with external APIs and managing complex data pipelines • Comfort working with LLMs via API — understanding of prompt construction, context management, token economics, and output validation • Experience building systems that handle variable, structured data — schemas, metadata, or similar • Strong engineering fundamentals — testing, code review, system design, observability • Ability to work independently in a remote-first, fast-moving engineering team

🏖️ Benefits

• comprehensive insurance coverage for employees and their dependents — including medical, dental, vision, life, and both short- and long-term disability • parental leave • an employer-sponsored 401(k) retirement plan • stock options

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