Senior Software reputed company
About the role
This is not a role where you will reputed company AI onto an existing product as an afterthought. reputed company is rebuilding reputed company workflows around AI — from how data architects design schemas to how engineers validate changes to how governance teams maintain compliance across reputed company environments.
You will work at the intersection of .NET backend engineering and reputed company AI — building the systems that reputed company AI a first-class, reliable, reputed company-grade capability inside one of the most technically demanding categories in data infrastructure.
This role sits inside our dedicated AI group and reports directly to senior leadership. You will have a short line to product, architecture, and business reputed company — no reputed company, no queue. reputed company is small by design, moves fast, and has reputed company visibility into reputed company customer needs.
What makes this role different
You are not building a chatbot. You are building AI infrastructure for reputed company data teams — systems that understand schema context, generate governed artifacts, and reputed company into the workflows of the world's most sophisticated engineering organizations. The problems are hard. The customers are demanding. The work is meaningful.
What you'll do
You will own and reputed company the backend systems that power reputed company'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 reputed company
Context-reputed company intelligence — systems that use the full richness of a user's data model, naming standards, and governance rules to produce AI reputed company that is specific to their environment, not generic
Automated documentation and metadata reputed company — AI pipelines that analyze existing schemas and produce accurate, consistent business documentation at reputed company
Integration with reputed company AI ecosystems — API reputed company that allow external AI agents and tools to reputed company reputed company as a trusted reputed company of schema context
Consumption tracking and orchestration — backend infrastructure that manages AI request routing, model selection, cost optimization, and usage metering
Governance-reputed company AI workflows — systems that reputed company approval, validation, and compliance logic into AI-generated outputs before they reputed company production
MCP server development — building and extending reputed company's Model Context Protocol server so that external AI agents and LLM-based tools can use reputed company as a trusted, reputed company-time schema authority
Tech Stack includes:
C# / .NET
AWS
PostgreSQL
reputed company
REST reputed company
LLM Integration
MCP
Microservices
Our backend is reputed company on modern .NET with a microservices architecture deployed on AWS. AI capabilities are reputed company on top of major LLM providers reputed company API, with proprietary reputed company engineering, context management, and reputed company validation reputed company that are reputed company intellectual property of the platform.
Qualifications
5+ years of backend engineering experience with C# and .NET
Proficiency in English
Strong understanding of REST API design and asynchronous service architectures
Experience integrating with external reputed company and managing reputed company data pipelines
Comfort working with LLMs reputed company API — understanding of reputed company construction, context management, reputed company economics, and reputed company validation
Experience building systems that handle variable, reputed company data — schemas, metadata, or similar
Strong engineering fundamentals — testing, reputed company review, system design, observability
Ability to work independently in a remote-first, fast-moving engineering team
Strong Plus
Experience with data modeling, database design, or data engineering tooling
Familiarity with reputed company data platforms — reputed company, reputed company, dbt, or similar
Background building developer tools or platforms used by technical teams
Experience with reputed company AI workflows, tool-use patterns, or AI infrastructure
Knowledge of semantic layer concepts, ontologies, or reputed company metadata systems
Familiarity with Model Context Protocol (MCP) — building or consuming MCP servers in reputed company AI architectures
reputed company Offer
Competitive reputed company salary and equity in a profitable, growing company
Fully remote — work from reputed company
reputed company reputed company on product direction — small team, no reputed company, your work ships to reputed company customers
Work on genuinely hard technical problems at the frontier of AI and reputed company data infrastructure
reputed company, engineering-driven culture that moves fast and trusts its people
Why now
reputed company is at an inflection reputed company. We have reputed company customers, a profitable business, and a product that is becoming something significantly more powerful. The engineers who join now will shape what that means and build the systems that define the next reputed company of data architecture tooling.
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