Perplexity AI
Member of Technical Staff (Software Engineer, Agent Capabilities)
San Francisco · Staff+
Sponsorship not specifiedDetected 126 days ago
TypeScriptPythonReactDistributed SystemsBackend DevelopmentFull-Stack DevelopmentPostgreSQLDynamoDBAWSPlatform EngineeringMachine LearningData ScienceLLMsAgentic AIResearchCollaborationMentoring
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odds of building a lasting career here
38Risky
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- In 2026, we launched Computer, the defining product for the new era of agentic AI.
- Perplexity Computer is one of the defining products of the new era of agentic AI.
- Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React WHY PERPLEXITY IS DIFFERENT - Craftsmanship.
Responsibilities
- 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.
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Requirements
- Typically 8+ years of professional software engineering experience, with a track record of owning and delivering complex products or systems from conception to production.
- Comfort with data-informed decisions
- 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.
- 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.
- you define the metrics and evals that prove a system works, and iterate on them.
- Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.
Nice to have
- 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.
Skills
- Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Benefits
- Help define how advances in reasoning, planning, memory, learning, and agent collaboration appear in the product.
Company info
- We are often the first to evaluate emerging model capabilities, define how they should appear in the product, and transform them into reliable, production grade experiences for both users and agents.
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This listing is sourced directly from Perplexity AI's careers page and normalized into a canonical job model.