AI Engineer, Mail Platform (Remote · Flexible)

Coda

United States

Remote

USD 140,000 - 210,000

Full time

2 days ago
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Benefits offered by this job

Health care
Retirement match
Parental leave
PTO & holidays
Stipends
Professional development

Job summary

Superhuman is building the AI-powered productivity platform for the Mail team. This role focuses on engineering backend systems and agentic features, connecting MCP to tools used by teams. You’ll optimize workflows, evaluate models, and ship AI capabilities across the product at scale.

The role requires building robust, scalable ML-powered features, selecting appropriate models, and collaborating with cross-functional teams to deliver value quickly in a remote-friendly environment.

Qualifications

  • 4-6+ years of software engineering experience with a strong backend foundation (Python or TypeScript is great, Go is a plus)
  • Hands-on experience building and shipping LLM-powered features in production, such as agents or agentic loops
  • Experience building evals to measure and improve LLM quality
  • Familiarity with MCP servers or tools, or eagerness to dive in
  • Working ML knowledge to reason about model selection and tradeoffs. We’re looking for builders, not researchers
  • Comfortable with ambiguity and quick changes in direction
  • An AI enthusiast who uses AI to boost your own productivity and your team’s impact
  • Strong ownership, a bias to action, and a growth mindset

Responsibilities

  • Build and evolve Superhuman Mail’s MCP: new tools, new standards, and new ways for agents to deliver value to end users
  • Design and ship agentic workflows and personalization features at scale
  • Build evaluation systems that measure quality and catch regressions as prompts, models, and tools change
  • Help choose the right models for each task and keep exploring new ones
  • Partner with teams across Superhuman to give them the AI building blocks they need
  • Ship quickly while learning, and adjust course as the industry shifts
  • (ML-leaning variant) Help shape our modeling approach, including what data to collect and how to generate it
  • Technologies we use: Go, Postgres, Redis, Kubernetes, AWS, TurboPuffer

Skills

Backend
LLM features
Eval systems
MCP tools
ML knowledge
Ambiguity tolerance
Ownership mindset
Proactive

Tools

Go
Postgres
Redis
Kubernetes
AWS
TurboPuffer

Job description

Superhuman is building the AI-powered productivity platform for the Mail team. This role focuses on engineering backend systems and agentic features, connecting MCP to tools used by teams. You’ll optimize workflows, evaluate models, and ship AI capabilities across the product at scale.

The role requires building robust, scalable ML-powered features, selecting appropriate models, and collaborating with cross-functional teams to deliver value quickly in a remote-friendly environment.

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