# Member of Technical Staff

**Company:** [Perplexity](https://hotfix.jobs/companies/perplexity)
**Location:** San Francisco, CA, New York, NY
**Role:** Fullstack Engineering
**Salary:** $220k – $405k/yr
**Experience:** 8+ years
**Skills:** Python, Go, Postgres, DynamoDB, AWS, TypeScript, React, Full-Stack Engineering, Distributed Systems, Agentic Systems
**Posted:** 2026-06-13

> Own end-to-end agent capabilities at the intersection of frontier AI research and product. Build scalable full-stack systems, define abstractions for Skills/Workflows/Artifacts, and translate emerging model behaviors into reliable user and agent experiences.

## Job Description

## What you'll do
- Investigate emerging frontier-model behaviors and identify opportunities to turn them into product capabilities. Help define how advances in reasoning, planning, memory, learning, and agent collaboration appear in the product.
- Build and evolve Skills, Workflows, and Artifacts into a coherent ecosystem. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for complex real-world tasks.
- Own capabilities end-to-end, from user-facing products and interfaces to backend services, evaluation, data models, and production operations.
- Build scalable platform infrastructure and backend systems that power capability execution, sharing, and lifecycle management across high volume user and agent interactions.
- Collaborate closely with PM, Design, Data Science, Sales, Research, to identify high-impact opportunities in both consumer and enterprise customer experiences, validate emerging capabilities, and translate complex agent behaviors into simple, reliable product experiences.
- Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership.

## Qualifications
- Typically 8+ years of professional software engineering experience, with a track record of owning and delivering complex products or systems from conception to production. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
- Strong full-stack engineering fundamentals, including experience building user-facing products, backend services, and scalable distributed systems that serve high traffic and large user bases.
- Strong product judgment and instincts; you turn vague needs into simple, reliable systems and ship without waiting for perfect specs.
- Comfort with data-informed decisions; you define the metrics and evals that prove a system works, and iterate on them.
- Experience designing abstractions, platforms, or reusable systems that enable other engineers, users, or automated systems to accomplish complex tasks.
- Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear user impact.
- Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.

## Nice to have
- Experience building agentic systems (tool calling, subagents, long-running or autonomous task execution).
- Experience building developer platforms or reusable-capability primitives (SDKs, plugin systems, workflow engines).
- Experience with evaluation, benchmarking, or quality systems for ML/LLM-powered products.
- Time spent at a fast-growing startup or on a high-ownership engineering team.

## Tech Stack
Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React

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