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Stelle · Principal

Member of Technical Staff (Forward Deployed Engineer, Applied AI)

AI / ML Engineer • Principal • Remote • Vollzeit • 📍 London

Perplexity, an AI-powered answer engine, is hiring Forward Deployed Engineers to work directly with enterprise customers to design and deploy AI integrations in production. The role spans the API Platform (integrating search, retrieval and AI into enterprise systems) and Perplexity Computer (deploying agentic, multi-step workflows across tools and applications). Engineers embed with customer teams, connect Perplexity into their existing stack, and build production systems combining retrieval, reasoning and execution.

Responsibilities

  • Design, build and deploy end-to-end integrations between Perplexity and enterprise systems (data platforms, internal tools, SaaS applications), translating business workflows into production-grade AI systems
  • Work directly with customer teams to embed AI into existing processes, owning deployments from initial architecture through production rollout and ongoing optimization
  • Develop and operationalize integrations using APIs, event-driven architectures and workflow orchestration, including deploying Perplexity Computer for multi-step, agent-driven workflows
  • Design and build production systems that combine retrieval, reasoning and execution across enterprise environments, applying deep LLM expertise to drive performance, security and customer impact
  • Debug and resolve issues across APIs, infrastructure and external dependencies, ensuring reliability, performance and scalability in production
  • Prototype new integration patterns and build reusable architectures that accelerate adoption across customers
  • Partner with Sales and Product to unlock new use cases, drive expansion and translate deployment learnings into product and platform improvements

Requirements

  • 5+ years of experience in software engineering, forward deployed engineering, solutions engineering or similar roles, with a track record of building and shipping production systems in customer-facing environments
  • Strong programming ability in Python (plus one of JavaScript/TypeScript, Java, etc.) with experience developing integrations, prototypes and scalable applications
  • Deep experience with APIs and distributed systems, including authentication, latency optimization and debugging across complex, multi-system environments
  • Production experience building LLM-powered systems, including prompt engineering, agent workflows, evaluation and deploying AI systems at scale
  • Proven ability to design and implement automated, end-to-end workflows that integrate across enterprise systems and replace manual processes
  • High ownership and ability to operate in ambiguous environments, with strong system design, rapid prototyping skills and end-to-end execution
  • Excellent communication and collaboration skills, working cross-functionally with both technical teams and executive stakeholders

Nice to have

  • Experience with search systems, retrieval-augmented generation (RAG) or AI/ML APIs
  • Background in developer tools, platform engineering or high-scale/low-latency system design
  • History of working at startups or small teams, owning customer projects end-to-end
  • Experience with enterprise IT systems or AI deployment patterns in regulated industries (finance, healthcare, life sciences)

Soft skills

High ownershipComfort operating in ambiguous environmentsExcellent communication and collaborationCustomer-facing mindset