Senior AI Platform Engineer
First seen by Alion on Oct 7, 2026.
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.