Senior AI Platform Engineer
Коротко
Builds and scales infrastructure for production AI agents: voice/conversational agents, durable workflows, LLM pipelines, evals, and observability. · Needs: Production experience with AI agents, durable workflows, LLM observability, PostgreSQL, TypeScript; strong written English.
Описание от работодателя
We are looking for a Senior AI Platform Engineer to build and scale the infrastructure behind production AI agents.
Our AI agents conduct live conversations — including training role-plays, outbound calls, and interviews — and turn conversations into scores, summaries, and coaching insights.
What you'll work on
AI Agents: Build and run production voice/conversational agents, including state, interruptions, latency, configuration, versioning, and testing.
Durable Workflows: Design event-driven pipelines using queues, webhooks, retries, and idempotent processing.
LLM Pipelines: Build multi-step analysis pipelines using frontier and open-source models, balancing quality, latency, and cost.
Evals & Observability: Build tracing, evaluations, and quality gates for agents, prompts, and models.
Architecture & Data: Own technical decisions and design secure multi-tenant systems using PostgreSQL.
Engineering: Review code, write design notes, improve architecture, and help other engineers grow.
What we're looking for
Production experience building and operating AI agents with real users .
Experience with voice agent platforms or open-source agent frameworks .
Strong understanding of latency, interruptions, state, and production failure modes.
Production experience with durable workflows and event-driven systems .
Hands-on experience with retries, queues, webhooks, and idempotency.
Experience shipping LLM-powered features with frontier or open-source models.
Experience with LLM observability, tracing, and evals .
Strong PostgreSQL skills, including schema design and migrations.
Strong TypeScript and comfortable with Python .
Strong written English and solid technical communication.
Nice to have
Speech/transcript pipelines at scale.
Speaker diarization and long-form audio processing.
Open-source voice agent frameworks.
SIP, telephony, phone carriers, or WebRTC.
Building eval sets that gate prompt/model changes.
Next.js and Supabase.
Open-source contributions to AI, voice, or LLM tooling.
How we work
AI-assisted coding is expected — we care about your ability to verify and judge AI-generated code .
Written-first: design notes, clear PRs, and async communication.
PR + CI for every change.
Staging before production.
Regular code reviews and pairing.
Small team, high ownership, direct impact on architecture and product.
Why join
You'll own a meaningful part of the production AI stack , from live voice interaction to durable processing, LLM analysis, evaluation, and the final product experience.
If you match most of the requirements but not all of them, apply anyway .