Perplexity

1 month ago

Member of Technical Staff (Software Engineer, Connector Platform)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Join the Connector Platform team to design and implement the runtime that registers, hosts, and executes built-in connectors, building a scalable semantic layer and tool-discovery interfaces to enable Perplexity's agents to interact with hundreds of heterogeneous integrations. You’ll ensure robust agent loops, secure authentication patterns, and measurable quality for onboarding new connectors in a fast, security-conscious environment.

Location: San Francisco, New York, Palo Alto, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface.
•Build and extend the semantic layer: tool and entity schemas, capability metadata, relationship modeling, and the mechanisms for capturing and applying organization- and account-specific corrections and knowledge.
•Design the tool-discovery and tool-selection surfaces that agents use to find the right connector and call it correctly, optimizing for both model accuracy and context efficiency.
•Make agent loops robust: structured results, partial-failure and retry semantics, idempotency, pagination, rate-limit handling, and observability into every tool call an agent makes.
•Define authentication, authorization, and credential-isolation patterns for connectors (OAuth flows, BYOK, per-org credential boundaries), partnering with Security and Backend Platform on defense-in-depth.

Pay and Benefits

Salary: USD 220,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).
•Strong system design skills, with a track record of building efficient, reliable, and scalable architectures, ideally including API integration, gateway, or platform-style systems with many heterogeneous downstreams.
•Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.
•Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).
•Depth in at least one of: OAuth and authorization protocols, API/connector or MCP-server development, schema and semantic modeling, or building tooling and evaluation for LLM-based agents.

Experience:4+ yearsAISaaSPlatform & Infrastructure

Skills:CollaborationProblem-solvingCommunication

Languages:English

Tech Stack:PythonGoRustAWSKubernetesOAuthMCPAPIs

Company Brief

Perplexity

Perplexity AI provides an AI-powered answer engine that returns conversational, citation-backed answers to user queries and offers Pro/Enterprise products and APIs for research, knowledge work, and search augmentation.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.6

Website LinkedIn Glassdoor

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Perplexity

1 month ago

Member of Technical Staff (Software Engineer, Connector Platform)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Palo Alto, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface.
•Build and extend the semantic layer: tool and entity schemas, capability metadata, relationship modeling, and the mechanisms for capturing and applying organization- and account-specific corrections and knowledge.
•Design the tool-discovery and tool-selection surfaces that agents use to find the right connector and call it correctly, optimizing for both model accuracy and context efficiency.
•Make agent loops robust: structured results, partial-failure and retry semantics, idempotency, pagination, rate-limit handling, and observability into every tool call an agent makes.
•Define authentication, authorization, and credential-isolation patterns for connectors (OAuth flows, BYOK, per-org credential boundaries), partnering with Security and Backend Platform on defense-in-depth.

Pay and Benefits

Salary: USD 220,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).
•Strong system design skills, with a track record of building efficient, reliable, and scalable architectures, ideally including API integration, gateway, or platform-style systems with many heterogeneous downstreams.
•Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.
•Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).
•Depth in at least one of: OAuth and authorization protocols, API/connector or MCP-server development, schema and semantic modeling, or building tooling and evaluation for LLM-based agents.

Experience:4+ yearsAISaaSPlatform & Infrastructure

Skills:CollaborationProblem-solvingCommunication

Languages:English

Tech Stack:PythonGoRustAWSKubernetesOAuthMCPAPIs

Company Brief

Perplexity

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.6

Website LinkedIn Glassdoor