Spoke

We're helping a company replace their current fully outsourced, underperforming India-based team with a strong team that we're assembling in Eastern Europe.
 

The company is an early-stage healthtech startup replacing legacy benefits infrastructure with a modern, proprietary platform — mobile apps, multi-stakeholder portals, and claims tooling — and building the engineering team to own it from the ground up. The startup is successful, well funded and profitable, so you don't ever have to worry about the company closing doors.
 

We're hiring 3-4 middle-to-senior level developers. 
 

Tech Stack: Java Spring Boot, React, AWS. Native mobile apps.
 

As a Senior Developer, you'll be a core contributor to building and maintaining a modern healthtech platform. You'll work closely with the Tech Lead to implement architectural standards, take ownership of features end-to-end, and help set the bar for code quality across the team. This is a hands-on role — you'll be deep in the codebase every day.
 

– You must be comfortable in Java and Spring Boot.

– You are comfortable working across front end (React) and back end.

– You are very comfortable using Claude Code and will show off your workflows on the interview
– Bonus points for knowledge of HIPAA compliance 

We're partnered with an AI company that cleans up and enriches messy product data (PDFs, spreadsheets, images, CAD files) turning it into clean, marketplace-ready catalogs for brands and retailers selling on Shopify, Amazon, Walmart, and large PIM/ERP systems. We're helping the company bring on a few more engineers – one of the positions is this Data Scientist one.

Stack: Python / FastAPI on the backend, React / Next.js on the frontend, LLMs throughout. 

Engagement: Full-time, fully remote.

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You'll own the ML that powers the enrichment, classification, and validation pipelines — the core of the product. Real data, large scale, noisy inputs, a lot of LLM work alongside classical ML.

What you'll do

• Build classification, extraction, and enrichment models over product data (text, images, metadata)
• Design and ship LLM pipelines – RAG, extraction, validation – in production, not just notebooks
• Run experiments and build evaluation frameworks you actually trust
• Work with engineering to deploy models, not hand them off

We're looking for

• 4-7+ years in data science / ML
• Strong Python (pandas, sklearn, PyTorch, TensorFlow, etc)
• Real experience with LLMs, NLP, CV
• Solid instincts on model evaluation and data quality
• You've worked on messy real-world data and know how to handle it
• You're comfortable working with a significant overlap with the US Pacific Time
• Your conversational English is strong (you will be speaking with your teammates daily)

Nice to have

• Product / catalog / e-commerce data experience
• Experience with vector DBs, embeddings, RAG in production