Systems Engineer

Job Description

Key Responsibilities

Twój zakres obowiązków:

• Design and deploy agents that continuously scan scientific literature and patent databases, summarising and prioritising findings.
• Build pipelines to ingest and vector-index knowledge from Slack, Confluence/JIRA, notes and emails; implement retrieval-augmented generation.
• Integrate agents with GitHub to review pull requests, suggest fixes, analyse Sentry logs and propose solutions.
• Develop sandboxed execution environments for agents to prototype and optimise algorithms (e.g. optical flow for rBCG, DSP filters, hyper-parameter sweeps).
• Orchestrate automated experiments: ablation studies, HPO, sweeps with reproducible metrics and traceability.
• Implement guardrails, automated testing and evaluation harnesses for LLM-based agents; ensure privacy-by-design and secure access to data.
• Generate weekly executive summaries of literature, experimental outcomes and engineering insights for both technical and leadership teams.
• Analyze biosignal data to identify meaningful patterns and trends.
  

Requirements

Nasze wymagania:

• MSc / PhD in Computer Science, AI, Mathematics, or related field.
• 4+ years of experience in software engineering or ML, including production use of LLM frameworks (LangChain, LangGraph, CrewAI or similar).
• Strong proficiency in Python and related libraries; ability to develop complex, testable workflows.
• Hands-on experience with GCP (Cloud Storage, Vertex AI, Cloud Run/K8s), GitHub, CI/CD, Docker/Kubernetes.
• Knowledge of RAG, vector databases (Pinecone, Weaviate, pgvector) and ingestion pipelines for unstructured data.

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