AI Engineer - AI Infrastructure & Agentic Platform

About Shift Key

Shift Key is a platform that is disrupting the way healthcare facilities find licensed and certified professionals to fill available shifts. Leveraging marketplace dynamics and deep industry knowledge, the company is helping mitigate America’s healthcare staffing shortages by enabling direct connections between facilities and healthcare professionals. By offering the opportunity to work as much or as little as they choose and returning power to healthcare workers, Shift Key is bringing more licensed professionals back into the workforce in a solution that addresses a major crisis in healthcare.

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Shift Key is a healthcare workforce marketplace operating in a regulated (HIPAA) environment, and we are building toward being an AI-native company. We are past the experimentation phase but not done yet, and this middle stage is exactly why this role exists.

The Staff AI Engineer owns Shift Key’s AI infrastructure layer: the organizational knowledge platform, the infrastructure for hosting and operating AI agents in the cloud, and the retrieval layer powering both internal engineering tools and customer-facing capabilities.

A retrieval stack is already in production, serving real workflows today. The next layer of the platform is in active development. The most ambitious parts—richer retrieval over organizational knowledge, agentic infrastructure, the platform API surface, and the cost-governance model that keeps running within budget in a regulated environment—are yours to architect and own.

You will not be maintaining someone else’s finished platform, and you will not be starting from a blank page. You will inherit serious retrieval foundations and own the architecture of everything that comes next. You will have high autonomy and organization-wide influence, partnering directly with the platform team, AI ambassadors across engineering, and senior engineering leadership.

Monthly gross remuneration for this position ranges from PLN 29,600 to PLN 32,000 under an employment contract (CoE/umowa o pracę). Final compensation is determined based on experience and skill level.

You must be located in Poland to be considered for this position. We prefer candidates based in the Warsaw Metropolitan Area, with flexibility to choose between remote work or working from our office in Warsaw.

• Evolving the AI knowledge platform—taking the retrieval, indexing, and synthesis layer (currently semantic RAG + re-ranking + HyDE) to an organization-wide platform serving both internal engineering tools and customer-facing capabilities.

• Architecting and operating agentic infrastructure on AWS—multi-step, tool-using AI systems that plan, retrieve, and act on complex queries and operational events, with cost guardrails and observability built in from day one.

• Designing and building graph-based, relationship-aware retrieval across the organization s data sources, enabling multi-hop queries and letting agents accumulate organizational knowledge over time. This is on our roadmap, not in production — you will define the approach.

• Partnering with product engineering to define the AI platform API surface, translating infrastructure primitives into developer-ready abstractions.

• Building reference agent implementations on the platform—operational-incident triage, customer support, and future agentic use cases—grounding each agent s reasoning in institutional knowledge.

• Owning the AI infrastructure cost model: monitoring compute, model, and storage spend, flagging anomalies, and proposing guardrails to keep workloads within defined budgets.

• 7+ years of professional software engineering experience, with at least 2 years building and operating production AI/LLM application systems—not research, not prototyping, not demos.

• Retrieval engineering beyond the basics. Our stack already includes re-ranking and HyDE; we need someone who has worked at or above that level: hybrid search, re-ranking, query transformation, context-window management, and evaluation of retrieval quality in production.

• Working experience with agentic frameworks and multi-step…