Staff Software Engineer
PendoUSA3w ago
AIEngineeringremotecurated-jd
Job description
Staff Software Engineer at Pendo.
About the role
The Emerging Team at Pendo is building AI-native products for our product experience platform from the ground up. We are looking for a technical leader to design and ship agentic workflows and LLM-powered features that redefine how software teams interact with user data.
Key facts
What you'll do
- Architect and deploy production-grade AI systems including RAG pipelines and agentic workflows.
- Determine the appropriate technical approach for model integration, choosing between prompting, fine-tuning, or alternative architectures.
- Establish evaluation frameworks to monitor model performance, identify hallucinations, and implement reliability guardrails.
- Manage the full lifecycle of model deployment, including latency optimization, cost management, and system observability.
- Work across the full stack to deliver complete, user-facing AI features.
- Collaborate with product and design stakeholders to define problem spaces and prioritize development efforts.
- Maintain technical expertise in transformers, diffusion models, and orchestration frameworks to guide team strategy.
Requirements
- Proven track record of shipping LLM-powered systems, specifically RAG and agent orchestration.
- Experience setting technical direction and architectural patterns for AI engineering across teams.
- Ability to influence product strategy and align cross-functional stakeholders on AI initiatives.
- Expertise in designing evaluation suites and mitigating model bias or hallucinations.
- Deep understanding of modern model architectures like transformers and diffusion models.
- Experience managing AI production requirements, such as monitoring, deployment, and cost-performance optimization.
- Strong full-stack engineering fundamentals.
- Ability to communicate complex technical tradeoffs to both technical and executive audiences.
- Strong product judgment regarding the viability and necessity of new features.
Nice to have
- Experience with fine-tuning foundation models.
- Familiarity with AI safety protocols and guardrail frameworks.
- Proficiency with orchestration tools like LangChain or LlamaIndex.
- Background in SaaS or product analytics.
- Experience launching net-new products or teams.
Skills & tools
- LLMs
- RAG pipelines
- Agentic workflows
- Transformers
- Diffusion models
- LangChain
- LlamaIndex
- Full-stack development
Practical notes
- Compensation includes equity, a 401(k) match, and comprehensive health benefits with $0 premium options.
- Pendo is an equal opportunity employer.
- Applicants requiring reasonable accommodation for the recruitment process may contact accommodation@pendo.io.