Software Engineer (Backend & LLM)
NewsCatcher (YC S22)Ukraine15 hours ago
Full-timeEngineering, Information Technology
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Functions
- Design and implement new data pipelines tailored to a specific project or new product.
- Continuously improve data pipelines to make them more generic and modular, reducing the effort required for subsequent integrations.
- Write, optimise and refactor prompts and prompt-related pipelines.
- Conduct thorough testing and validation of data pipelines to ensure accuracy and consistency of data.
- Ensure pipelines are optimized for performance, scalability, and reusability to facilitate future projects.
- We want to support people’s enrichment within the CatchAll Tool. Do research on what is available on the market that can help us enrich data, Double-check open databases, and verify whether there is already an existing solution available within the NewsCatcher’s code base. Plan and design the pipeline. Build a prototype and demo it to the whole team. Proceed to, test on Dev, write test cases around. Deploy on Prod, get feedback and improve.
- One of the users complained about a job being stuck. Debug the pipeline, try to understand where the problem comes from: promts, code, database. Find the issue and prepare a fix. Test it within the whole pipeline on Dev. Break some pipeline, fix and test again. Deploy on Prod, make clients happy.
- Prompt responsible for validating results is giving only 50% precision. Review the prompt, review the model. Do some prompt engineering. Realize that “with each new model I feel like LLMs become stupier”. Try another LLM provider, adapt the prompt. Test results, improve the accuracy and create a dataset to prove it. Get 70% precision, wait for compliments.
- 3+ years of experience in B2B SaaS as Backend / Software / Data Engineer
- Strong systems thinker with attention to performance and scalability
- Comfortable working with both SQL and NoSQL databases
- Experience shipping LLM-based functionality into production
- Able to move from prototype → stable, maintainable architecture
- Strong Python (including async workloads)
- Docker & Kubernetes
- RabbitMQ (or Kafka / PubSub / SNS / ActiveMQ)
- MongoDB / DynamoDB / Redis
- Hands-on experience with LLM frameworks
- Elasticsearch/OpenSearch
- PostgreSQL / MySQL
- GitLab
- AWS / GCP / DigitalOcean
- Jenkins
- Experience building production AI agents
- Frontend experience (useful for product UI)
- Experience in API-first or DaaS companies
- Competitive salary and equity
- Up to 24 days of vacation & 16 days of sick leave/holidays (all fully paid)
- One meeting-free day per week
- Co-working Budget
- Training Budget
- We provide all the necessary equipment to work comfortably and efficiently from home.
- Yearly company retreats (2025 — Portugal, 2024 — Canary Islands, 2023 — French Alpes)
Key Skills
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