Talkie

Prompt Engineer (Healthcare)

10k - 14k PLN10 000 - 14 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

10k - 14k PLN10 000 - 14 000 PLN/ mies./ mies.B2BB2B (netto)

MidZdalnie·WarszawaFull-time·Umowa o pracę·B2B

#455920·Dodano 14 dni temu·13

Źródło: Talkie sp. z o.o.

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Tech Stack / Keywords

LLMTTSASRB2BMultisport

Firma i stanowisko

Talkie builds AI Agents for healthcare. Our agents handle patient–clinic communication end-to-end — voice calls, web chat, and SMS — so patients get 24/7 access to care and busy practices never miss a conversation. Every month, our AI Agents handle close to a million real patient conversations across the US and Poland. Trusted by primary care, specialty practices, and hospitals.

Wymagania

Hands-on LLM experience writing and iterating on prompts for production systems.
Ability to review conversations, extract failure patterns, and turn findings into concrete, measurable improvements.
Strong communication and collaboration skills to work across technical and non-technical teams.
Proactive problem-spotting and proposing fixes.
Zero-error mindset due to real patient interactions.
Proficiency in English at C1+ level with strong written communication.
Availability to work 12:00–20:00 CET at least 3 days a week to overlap with US Eastern Time hours.

Nice to have:

Experience with LLM tool-use patterns, structured outputs, and API integrations.
Familiarity with evaluation tools such as Braintrust, DeepEval, LangSmith, or custom pipelines.
Understanding of voice AI nuances including latency, turn-taking, and TTS/ASR.
Background in healthcare, health-tech, or regulated industries requiring accuracy and compliance.
Genuine curiosity for new models, reading release notes, and experimenting with fresh ideas.

Obowiązki

Design, write, and continuously optimize prompts powering our AI Agents to make them natural, accurate, and reliable.
Analyze real patient-agent conversations end-to-end, identifying failure patterns, edge cases, and opportunities to improve agent behavior.
Propose and implement technical solutions around function calling, tool use, context caching, and other LLM capabilities.
Build and run evaluation frameworks to test agent performance before and after changes with zero margin for error.
Create clear, structured documentation and customization instructions to tailor agents to client-specific workflows.
Stay up-to-date with rapidly evolving LLM models, techniques, and conventions.
Work closely with the Product Manager (US market), engineering, and client teams to ensure agent quality across deployments.

Benefity

Competitive pay with benefits under employment contract or B2B contract.
Flexible working arrangements: remote, office, or hybrid.
Work equipment including Mac laptop, monitors, keyboard, mouse, and setups for office and home.
Benefits: private medical care, Multisport card, annual offsite, training budget.
Structured onboarding process.

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Talkie

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