Data Engineer / 1

Job Description

We are looking for an experienced engineer to enable reliable, secure, and scalable GenAI‑based mail processing. In this role, you will design, implement, and operate MCP and OCR integrations, ensuring the overall stability and performance of the platform. Your primary focus will be on developing enrichment integrations for LLM prompt generation, followed by optimization of platform reliability (performance tuning, DB connection handling, LLM gateway operations, observability, autoscaling).

Qualifications

• Design and implement secure, robust integrations with multiple MCP servers to fetch and aggregate customer data (API clients, batching, connection pooling, retries, rate limiting, caching) and feed enriched context into LLM prompt generation.

• Implement and operate OCR integrations for processing attachments (PDFs, images), including tool/API selection, preprocessing, quality handling, and text integration into mail classification and prompt pipelines.

• Ensure secure handling of customer and PII data used in LLM workflows.

• Scale and performance‑tune GenAI Python microservices running in Kubernetes.

• Improve PostgreSQL session and connection management, including detection and resolution of connection leaks.

• Operate and harden the LLM‑Gateway (LiteLLM), implementing load balancing, throttling, and fallback strategies required by GenAI mail‑processing workflows.

• Implement and maintain observability for enrichment and platform workflows (metrics, traces, structured logs) and contribute to runbooks.

• Optional participation in on‑call rotation.

  Must‑Have Qualifications

• Hands‑on experience with Kubernetes, Helm, and Docker.

• Strong experience integrating backend APIs, including authentication (tokens/OAuth/OIDC), retries, rate limiting, and caching.

• Practical experience with OCR tools/APIs or document‑processing pipelines.

• Solid Python skills for integration and troubleshooting (FastAPI, Django, Pydantic).

• Familiarity with PostgreSQL connection handling and basic tuning.

• Exposure to observability tools (Prometheus, Grafana, ELK).

• Strong understanding of data privacy and PII handling in production environments.

Additional Information

We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:

https://inetum.whispli.com/speakup?locale=pl