{"id":821305,"url":"https://alion.io/job/shiftkey-staff-ai-engineer-ai-infrastructure-agentic-platform-2","title":"Staff AI Engineer - AI Infrastructure & Agentic Platform","company":{"id":179627,"name":"ShiftKey","domain":"shiftkey.com","url":"https://alion.io/company/shiftkey","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":96,"open_postings":6,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":29600,"max":32000,"currency":"PLN","period":"month","gross":null,"usd_annual":98772},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Go","optional":false},{"name":"HIPAA","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Function Calling","optional":true},{"name":"Hybrid Search","optional":true}],"status":"live","first_seen_at":"2026-07-16T12:10:49Z","employer_posted_date":"2026-07-16","last_verified_at":"2026-11-02T21:31:49Z","board_verified":true,"closed_at":null,"days_open":109,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":108},"description":"About ShiftKey\nShiftKey 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 playing a vital role in mitigating America’s healthcare staffing shortages, enabling direct connections between facilities and healthcare professionals. By offering the opportunity to work as much or as little as they choose and putting the power back into the hands of healthcare workers, ShiftKey is bringing more licensed professionals back into the workforce, a solution that is solving a major crisis in healthcare. For more information, visit www.ShiftKey.com.\nThe role\nShiftKey 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 nowhere near done - and that middle stage is exactly why this role exists. \nThe Staff AI Engineer owns ShiftKey’s AI infrastructure layer: the organizational knowledge platform, the infrastructure for hosting and operating AI agents in the cloud, and the retrieval layer that powers both internal engineering tools and customer-facing capabilities.\nA retrieval stack is already in production, serving real workflows today - this is not a from-scratch build. The next layer of the platform is in active development. And 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. \nYou 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 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. \nMonthly 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.\nWhere you'll work\nThis is a fully remote position based in Poland. You should be comfortable working asynchronously and partnering with teammates in different time zones.\nWhat you'll be doing\nEvolving 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.\n\nArchitecting 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.\n\nDesigning 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.\n\nPartnering with product engineering to define the AI platform API surface, translating infrastructure primitives into developer-ready abstractions.\n\nBuilding reference agent implementations on the platform - operational-incident triage, customer support, and future agentic use cases - grounding each agent's reasoning in institutional knowledge.\n\nOwning the AI infrastructure cost model: monitoring compute, model, and storage spend, flagging anomalies, and proposing guardrails to keep workloads within defined budgets.\n\nWhat you'll need\n7+ 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.\n\nRetrieval 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.\n\nWorking experience with agentic frameworks and multi-step reasoning loops - tool use, iteration control, cost governance, and model routing trade-offs.\n\nProduction-grade software engineering fluency (strict typing, testing, async/concurrency, modern toolchain) in Go, Python, or TypeScript, with the ability to ramp into another quickly.\n\nHands-on experience operating AI workloads on a managed cloud AI platform (AWS Bedrock or Azure AI Foundry), including the identity/secrets model and model access governance. Bedrock preferred given our AWS stack.\n\nHands-on Terraform experience - able to author and provision new infrastructure independently, not just modify existing modules.\n\nFamiliarity with production observability for AI systems: metrics, structured logging for model spend and latency, and evaluation harnesses to detect regressions.\n\nUnderstanding of HIPAA-style data-handling requirements in a regulated SaaS environment. Prior healthcare experience is a plus, not a requirement.\n\nPerks of working for Shiftkey\nA high-growth, friendly, and engaging work environment with opportunities for career development.\n\nAdditional vacation days for better work-life balance.\n\nModern office in Warsaw’s Powiśle district with Vistula River views, recreational facilities, and great nearby restaurants.\n\nThoughtfully designed private medical package to take care of what matters most.\n\nSports card to fuel your active lifestyle.\n\nLife and accident insurance for peace of mind.\n\nOur Commitment to Diversity\nShiftKey is an equal opportunity employer and is committed to embracing diverse and individual perspectives shaping our culture and contributing to the solutions that transform the world. We actively work to create an inclusive environment for employees to thrive.\nEEO Statement\nShiftKey does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by applicable law. All employment is decided based on qualifications, merit, and business needs. 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