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$250,000 – $275,000
Listed on Pendo’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A senior engineer role building AI-native products from prototype to production, designing RAG pipelines, agentic workflows, and LLM-powered features that ship to real customers. This suits experienced builders who thrive in ambiguous spaces, make principled technical choices under uncertainty, and partner closely with product to define what should be built.
Our summary, not Pendo’s wording. The full posting is on their site.
Skills this role names
- Agentic Workflows
- LangChain
- LlamaIndex
- Model Deployment
- Model Evaluation
- Retrieval-Augmented Generation (RAG)
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What they ask for
Required
- Deep hands-on experience building and shipping LLM-powered systems, including RAG, tool use, and agent orchestration
- Strong system design and architecture decisions with early failure mode identification
- Experience owning technical quality beyond own features, including standards and shared infrastructure
- Strong model evaluation skills, including evaluation suite design and hallucination mitigation
- Solid understanding of transformers and diffusion models with judgment on application
- Production AI experience with model deployment, monitoring, and optimization for latency, cost, and reliability
- Full-stack fundamentals across backend and frontend to ship user-facing AI products
- Exceptional communication of complex technical decisions to engineers, product managers, and executives
- Demonstrated product thinking and ability to question whether something should be built
Nice to have
- Experience fine-tuning foundation models with clear perspective on fine-tuning versus prompting tradeoffs
- Familiarity with AI safety, guardrails, and responsible deployment practices
- Experience building agentic or multi-step reasoning systems using tools like LangChain or LlamaIndex
- Background in SaaS or product analytics environment
- Prior experience contributing to or launching a net-new team or product area