Agentic Systems Engineer

Join Shen.AI as a Agentic Systems Engineer

At Shen.AI we deliver digital, smartphone-accessible health & wellness diagnostic tools that run locally on your mobile device. Based on a 30-second video scan of the human face, we extract over 25 health markers, such as Heart Rate, HRV, Blood Pressure, Stress Level and more. See the demo at https://demo.shen.ai/.The Shen.AI platform combines state-of-the-art computer vision and advanced vital signs processing with the power of AI for health and wellness monitoring. It provides real or near real-time display of health metrics, biofeedback, and preliminary diagnosis with recommended follow-up steps.

To accelerate our research & development, we are building an agentic platform that continuously searches, analyses, prototypes and reports—so our scientists and engineers can focus on breakthroughs. As an Agentic Systems Engineer you will design, implement and operate this platform, giving Shen.AI a 10× faster innovation cycle.

Key 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.

• 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.

Qualifications:

• 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.

• Ability to build evaluation pipelines, design metrics, and manage cost/latency trade-offs in LLM systems.

Nice to Have:

• 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.

What We Offer:

• 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.

• The most effective and proven cooperation methodologies and tools.

• Freedom and flexibility working remotely or on-site in Wrocław, Poland, or in Tallinn, Estonia.

• Private healthcare and Multisport card.

• Work equipment and tools of your choice.