W skrócie
- Zadania: Twórz publiczne API i analitykę, które ułatwiają zrozumienie działania autonomicznych agentów.
- Firma: StackAI to innowacyjna platforma no-code do projektowania i wdrażania AI.
- Benefity: Praca w małym zespole, szybkie wdrażanie pomysłów i wpływ na cały produkt.
- Pozostałe informacje: Cenimy różnorodność i tworzymy inkluzywne środowisko pracy.
- Dlaczego ta praca: Zyskaj doświadczenie w budowaniu API i analityki w dynamicznym środowisku technologicznym.
- Kwalifikacje: 4+ lata doświadczenia w budowie backendu i publicznych API.
Przewidywane wynagrodzenie mieści się w przedziale 135000 - 165000 zł za rok.
About Stack AI Stack AI is a no-code platform for designing, testing, and deploying AI workflows powered by large language models.
Our visual, drag-and-drop interface lets teams connect their data to AI models and ship production applications — from chatbots to document-processing pipelines to database Q&A tools — without writing code.
The role Every developer who builds on Stack AI works through your API, and every customer who wants to understand what their agents are doing relies on the analytics you build.
We're hiring a Platform Engineer, APIs & Observability to own both: the public API the ecosystem builds on, and the observability and analytics that make a platform full of autonomous agents understandable.
This is high-leverage, highly visible work.
The API is the contract every integration depends on, and observability for multi-step, multi-model agent runs is a hard, interesting problem.
You'll own the surfaces developers and customers use every day.
What you'll do
Help build the public API as a product.
Design, version, and evolve the API and SDKs that Stack AI customers build on, and keep the developer experience first-class.
Set our API standards.
Help define the conventions, versioning and deprecation policy, and review bar that keep every API across the platform consistent and predictable.
Make agent runs observable.
Build tracing and instrumentation that let anyone follow a single agent run end to end, across its models, tools, and sub-agents.
Turn usage into analytics customers act on.
Build the reporting that shows customers how their agents perform, what they cost, and where to improve.
Own the audit trail.
Build the audit logging and team-scoped views enterprises rely on.
What we're looking for
4+ years building backend services and public APIs in production.
Strong API craft: RESTful design, SDK ergonomics, and rate limiting.
You speak fluent Open API — experience defining API standards and governance: versioning, deprecation, and consistency across services.
Fluency with observability and analytics: distributed tracing, metrics, and turning raw signals into data products people rely on.
Strong in Python and modern backend frameworks (Fast API or similar), comfortable across Type Script/Node. js on the product surfaces.
Platform engineering is broad. If you're strong on most of this and excited to grow into the rest, we'd like to hear from you, even if you don't check every box.
Bonus points
Open Telemetry or distributed tracing at scale.
Analytics datastores (Click House, Druid, or similar).
Designing developer-facing SDKs used by external customers.
AI or LLM platform experience: token and cost accounting, agent-run tracing.
Startup or growth-stage experience.
Why Stack AI You'll join a lean, high-impact team and own the surfaces developers and customers touch every day. Your work ships fast and is felt across the whole product.
Stack AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr
Platform Engineer, APIs & Observability in Warsaw – pracodawca: StackAI
Stack AI to doskonały pracodawca, który oferuje dynamiczne środowisko pracy w szybko rozwijającym się startupie. Nasza kultura opiera się na współpracy i innowacyjności, co pozwala pracownikom na ciągły rozwój i zdobywanie nowych umiejętności. Oferujemy elastyczne godziny pracy oraz możliwość pracy hybrydowej, co sprzyja równowadze między życiem zawodowym a prywatnym.
