The role
You see AI not as hype, but as a powerful tool to create real and lasting impact. You thrive in agile, fast-paced environments where creativity and new ideas can flourish. Driven by curiosity, you’re always looking for smarter ways to solve problems. You work closely with others, bringing them along on the journey, and you take ownership from day one - leading the way rather than waiting for direction. Most importantly, you’re eager to shape both product and strategy, making a tangible difference beyond simply building features. Build smart, scalable, and production-ready AI-driven services using Python. Apply the latest AI tools like Claude, Cursor, and GitHub Copilot in your daily workflow. Design and optimize hybrid retrieval systems (e.g. vector + BM25) to power LLM-based agents and data lake exploration. Work closely with our main development team (React, Node.js) to bring AI capabilities into our product experience. Take the lead on new AI initiatives - prototype, test, build, and continuously improve. Leverage Azure cloud infrastructure (including pipelines, Infrastructure as Code, etc.) to deploy and manage your work. Stay on top of the evolving LLM/AI landscape and help us stay ahead of the curve. Build modern agents using LangGraph, MCP, gRPC with a mixture of proprietary and open models. Work on scalable data services using Kafka, RabbitMQ and various ELT platforms. Build and deploy with Github Action, Azure stack, ArgoCD, Argo Workflows - of course supported by SRE
What we expect
- 5+ years of experience with Python - you're not just fluent, you’re persuasive.
- Solid experience working with GenAI tools like Claude, Cursor, GitHub Copilot, etc.
- Strong background in modern data retrieval - you’ve built or worked with vector databases, embedding stores, and hybrid search engines (e.g., vector + BM25).
- You understand how to index, query, and surface relevant data from large-scale data lakes - optimizing retrieval for LLMs and intelligent agents.
- Solid grasp of APIs, microservices, and scalable backend architecture.
- Hands-on experience with Azure or similar cloud platforms.
- You’re fluent in English and an excellent communicator - comfortable explaining complex ideas clearly.
- You’re collaborative, humble, and care about team success as much as your own.
- Bonus for knowledge and experience of Word2Vec, CBOW, LSTM, ML, RNNs, NTLK and other NLP technologies
- Bonus for knowledge of Apache Flink, Spark, Superset and ELT/ETL stack such as Airflow, Meltano and good Postgres knowledge
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