Platform Engineer, APIs – Observability

StackAI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

StackAI is seeking a Platform Engineer to develop and maintain its public API and observability analytics. This role involves designing API standards, ensuring consistent user experience, and implementing extensive tracing and reporting for agent performance.

Candidates should have over 4 years of experience in backend services, strong skills in RESTful API design, and be proficient with Python and TypeScript/Node.js. This position offers an opportunity to impact product development significantly.

Qualifications

• 4+ years of experience building backend services and public APIs.
• Strong proficiency in RESTful design and SDK ergonomics.
• Fluent in OpenAPI for API standards and governance.
• Experienced in distributed tracing and metrics.
• Comfortable with Python and modern backend frameworks.

Responsibilities

• Build the public API and SDKs that Stack AI customers use.
• Define API standards, conventions, and review criteria.
• Develop tracing and instrumentation for observability.
• Create reporting analytics for agent performance.
• Establish audit logging for enterprise usage.

Skills

Backend services development

API design (RESTful)

Observability and analytics

Python

TypeScript/Node.js

Job description

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 OpenAPI — 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 (FastAPI or similar), comfortable across TypeScript/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

• OpenTelemetry or distributed tracing at scale.

• Analytics datastores (ClickHouse, 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.