Senior Fullstack AI & Data Platform Engineer

Appnovation

Austin (CO)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Appnovation is seeking a Senior Developer, Fullstack (AI & Data Platform) to join a skilled team building agent-enabled applications and backend automation turning catalogue and metadata into governed, production-ready software.

You will collaborate with data engineering and governance partners to design services, tooling, and user interfaces that make data discoverable, trustworthy, and easy to consume across the platform.

Qualifications

  • Bachelor’s Degree in Computer Science, or equivalent.
  • 6+ years of experience in software engineering with a strong focus on fullstack development.
  • Experience using AI-powered tools to enhance productivity and code quality.
  • Experience applying data-engineering principles to transform catalogue and metadata output into working software.
  • Strong Python engineering skills including API and service design (FastAPI), asynchronous programming, and schema validation (Pydantic / JSON Schema).
  • Understanding of Graph RAG data structures.

Responsibilities

  • Develop backend automation that integrates multiple metadata sources and generates governed artifacts such as a data contract for review, editing, and publication to the registry.
  • Design and build agent-enabled applications and workflows, including MCP servers and tools like a data-contract generator or data-readiness assessment utility.
  • Build user-facing interfaces for platform and discovery workflows.
  • Deliver production-quality services with sound API design, testing, and CI/CD practices.

Skills

Python
React
TypeScript
FastAPI
API design
CI/CD
AWS
Data Platform

Education

Bachelor's Degree in Computer Science

Tools

Neo4j
Supabase
Docker
AWS
Databricks
Snowflake
Collibra

Job description

Appnovation is seeking a Senior Developer, Fullstack (AI & Data Platform) to join a skilled team building agent-enabled applications and backend automation turning catalogue and metadata into governed, production-ready software.

You will collaborate with data engineering and governance partners to design services, tooling, and user interfaces that make data discoverable, trustworthy, and easy to consume across the platform.

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