Agentic Systems Engineer
Benefits:
Opportunity to co-create meaningful technology and products that improve people’s lives
Culture of ownership, openness and trust, working in a small dream team
Freedom and flexibility working remotely or on-site in Wrocław, Poland, or in Tallinn, Estonia
Private healthcare
Work equipment and tools of your choice
Education Requirements:
MSc / PhD in Computer Science, AI, Mathematics, or related field
Experience Requirements:
4+ years of experience in software engineering or ML, including production use of LLM frameworks (LangChain, LangGraph, CrewAI or similar)
Other Requirements:
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
Ability to build evaluation pipelines, design metrics, and manage cost/latency trade-offs in LLM systems
Experience in DSP/computer vision, especially PPG/BCG and biomedical signal processing
Integrations with Slack, Confluence/JIRA, Sentry, GitHub Apps
Knowledge of C++/CUDA optimisation for efficient computer vision and DSP algorithms
Responsibilities:
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
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