Senior Python AI Developer

We are looking for a Senior Python AI Developer to build and scale an AI driven product platform in a fully remote setup. The role focuses on developing reliable product features around AI / ML workflows, document processing, retrieval systems, structured data, and user facing outputs that need to be clear, explainable, and easy to inspect.

✅ Your responsibilities:

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

・Building product workflows around AI outputs, retrieval systems, document processing, and structured data.

・Connecting backend services, frontend applications, data workflows, and AI generated outputs into a reliable product experience.

・Creating user facing 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.

・Contributing to frontend features using React and TypeScript, especially around workflow status, evidence review, recommendations, and decision outputs.

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

🧠 Our requirements:

・5+ years of professional software engineering experience.

・Strong experience with Python and backend API development.

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

・Good 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.

・Commercial experience with modern frontend applications, preferably with React and TypeScript.

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

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

⭐ Nice to have:

・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 a modern AI / ML product platform.

・Private healthcare and Multisport.

・Life insurance.

・Real influence on technical decisions and architecture.

・Exposure to modern AI, data, and product engineering challenges.

・Collaborative and supportive team environment.