Senior / Staff Full Stack Engineer

We are looking for a Senior / Staff Full Stack Engineer with strong Python and React experience to build and scale an AI driven product platform in a fully remote setup. The role focuses on frontend experiences, backend APIs, document processing, retrieval systems, and structured AI / ML outputs.

✅ Your responsibilities:

• Building frontend experiences in React and TypeScript for evidence review, workflow status, recommendations, and decision outputs.

• Developing backend APIs in Python, ideally with FastAPI, for document upload, asynchronous processing, job status, retries, partial success, and structured results.

• Connecting frontend, backend, data workflows, retrieval systems, and AI generated outputs into a reliable product experience.

• Building product features that make AI outputs easier to inspect through source references, confidence signals, warnings, and clear error states.

• Working with structured data, documents, tables, financial metrics, and normalized evidence flows.

• Writing tests around API contracts, edge cases, error cases, and realistic user workflows.

🧠 Our requirements:

• 5+ years of professional full stack engineering experience.

• Strong experience with Python and backend API development.

• Strong experience with React and TypeScript in production applications.

• Experience with modern API frameworks, ideally FastAPI or similar.

• Understanding of AI / ML product workflows or strong interest in building software around AI outputs.

• Experience designing and consuming API contracts, schemas, and structured JSON payloads.

• Comfort with asynchronous workflows, background jobs, retries, partial failures, and user visible process status.

• Good testing habits, especially around edge cases, failure cases, and API behavior.

⭐ Nice to Have:

• Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic/Claude.

• Experience with data heavy products, including data workflows, document processing, data normalization, or working with structured evidence.

• Experience with cloud and data infrastructure, ideally Firebase, Firestore, Google Cloud Platform, Cloud Run, Cloud SQL, vector search, or Neo4j.

🌟 What we offer:

• 100% remote work

• Opportunity to work on modern ML/AI infrastructure

• Private healthcare and Multisport

• Life insurance

• Real influence on technical decisions and architecture

• Exposure to cutting-edge technologies

• Collaborative and supportive team environment