Senior Fullstack Engineer — Python & AI Data Platform

Appnovation Technologies

Phoenix (AZ)

On-site

USD 120,000 - 150,000

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 delivering agent-enabled applications and governed data artifacts. You will design services, tooling, and interfaces across platforms to make data discoverable and trustworthy.

The role emphasizes consulting, solution-focused thinking, and strong architectural contributions. You will work on backend automation, MCP workflows, and robust UI for discovery processes, with modern AI-enabled tooling and

Qualifications

Bachelor’s Degree in Computer Science, or equivalent.
6+ years of experience in software engineering with a strong focus on fullstack development.
Experience with AI-powered tools such as Claude Code and GitHub Copilot to boost productivity and code quality.
Ability to transform catalogue and metadata output into working software with data-engineering principles.
Strong Python engineering skills, including API and service design (FastAPI), asynchronous programming, and schema validation (Pydantic / JSON Schema).
Understanding of Graph RAG data structures.
Experience with Neo4j, Supabase.
Proven track record in architecting agentic workflows and AI-driven solutions with deep LLM integration.
Proficiency in frontend frameworks React and Vue.js, as well as ES6 and TypeScript.
Experience designing, developing, and consuming RESTful APIs and microservices.
Experience with unit testing, integration testing, and modern DevOps practices (Git, CI/CD).
Experience with Cloud Computing and Serverless Architecture, preferably AWS.
Strong understanding of agile principles and methodologies.

Responsibilities

Develop backend automation that integrates multiple metadata sources and generates governed artifacts - for example, automatically producing a data contract for review, editing, and publication to the registry.
Design and build agent-enabled applications and workflows, including MCP servers and tools such as a data-contract generator or a 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.