Phaselaw

Phaselaw

Infra / Platform Engineer - Known

San Francisco

Sponsorship not specifiedDetected 285 days ago
TypeScriptPythonBashBackend DevelopmentGitPostgreSQLAWSGCPCloud PlatformsDockerKubernetesTerraformCI/CDGitHub ActionsDevOpsPlatform EngineeringMachine LearningData EngineeringLLMsAgentic AI

About the role

  • You'll be the foundational engineer owning Known's core infrastructure and platform systems - the backbone that powers our AI-driven matching, voice, and scheduling experiences.
  • This role is ideal for a pragmatic builder who enjoys going from "blank slate" to production and thrives in early-stage environments where reliability, velocity, and simplicity matter most.

Responsibilities

  • Design and manage cloud infrastructure (AWS-first, with IaC via Terraform).
  • Build and maintain scalable data ingestion and orchestration pipelines to support ML and product analytics.
  • Administer and optimize our databases - PostgreSQL (with pgvector for embeddings) and analytical warehouse.
  • Collaborate with AI/ML engineers to deploy and monitor LLM and matching models for inference, evaluation, and retraining.
  • Implement observability (logging, metrics, traces, alerts) across backend services, data jobs, and model endpoints.
  • Drive reliability and scalability across our web, mobile, and agentic systems - from real-time voice matching to background batch workflows.
  • Collaborate cross-functionally with product, design, and ML teams to ensure infrastructure aligns with user and business needs.
  • As one of Known's first engineers, you'll make decisions that influence how the product scales, performs, and evolves - from the data stack to the deployment layer.
  • If you're excited by the idea of shaping the platform behind a category-defining AI product, this is the place to build it.
  • You'll work directly with the founding team (AI/ML, product, and design) to establish Known's technical foundation - shaping not just our architecture, but our engineering culture and best practices from day one.

Requirements

  • Strong proficiency in Python, TypeScript, and scripting (Bash/YAML).
  • Solid experience with containerization and orchestration (Docker, Kubernetes, ECS).
  • Experience with PostgreSQL (ideally with pgvector or embeddings), data modeling, and schema design for real-time and analytical workloads.

Nice to have

  • 4+ years of experience in infrastructure, platform, or data engineering (startup or high-growth environments preferred).
  • Familiarity with ML/AI workflows (model training, inference, monitoring) and feature stores is a plus.

Skills

  • Collaborative mindset, strong ownership, and bias toward shipping working systems fast.
  • Stand up a data lake + warehouse for storing and analyzing user signals, transcripts, and model outputs.
  • Deploy and scale voice agent infrastructure with low-latency streaming, recording, and monitoring.
  • Assist ML engineers in Implementing model deployment pipelines for embedding generation and re-ranking inference.
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This listing is sourced directly from Phaselaw's careers page and normalized into a canonical job model.