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About the Role
As an AI Software Engineer, you will own features end to end across the service, interface, and the seam between them. You will work across Go services, Vue interfaces, install experiences, instrumentation, telemetry, and LLM-backed product capabilities. You will start with well-shaped problems and take on progressively more ambiguous work as you build context, writing code others can operate and raising issues early when a spec does not match reality.
Responsibilities
- Ship full-stack features end to end across Go services and Vue interfaces.
- Build the install and instrumentation experience customers drop into their own agentic systems.
- Capture agent behavior and make it legible for customers.
- Work on LLM-backed features including prompt and context design, tool calling, evaluation, and related failure modes.
- Ship in small increments behind feature flags and test to the level of product and technical risk.
- Own what you ship in production through logging, monitoring, fast resolution, and follow-up work that reduces recurrence.
- Use AI tools as a normal part of your development workflow while staying accountable for what ships.
- Give useful code reviews, write documentation that survives your absence, and provide reasonable estimates for well-scoped work.
Requirements
- 3+ years of experience shipping full-stack features to production in a SaaS environment.
- Strong proficiency in at least one backend language such as Go, Java, Python, or C++.
- Strong proficiency in one modern frontend framework such as Vue, React, or Angular.
- Experience designing APIs and building services on AWS or GCP against SQL databases.
- Hands-on experience building with LLMs, including API integration, prompt and context design, or tool calling.
- Experience with Agent frameworks (LangChain, LangGraph).
- Experience with LLM evaluation tooling.
- Ability to write unit, integration, and end-to-end tests based on risk.
- Comfort using safe rollout patterns such as feature flags and canary releases.
- Demonstrated ability to take a well-scoped problem to production independently.
- Active use of AI tools in your development workflow.
- Strong written communication skills.
- Experience building or operating an MCP server or comparable agent tooling.
- Experience shipping SDKs or instrumentation libraries that customers install into their own systems.
- Experience with analytics or observability products.
- Experience with Vue.
- Experience with data visualization tools such as Highcharts or D3.
Skills
- Go
- Vue
- LLM
- API integration
- Prompt design
- Context design
- Tool calling
- Agent frameworks
- LangChain
- LangGraph
- LLM evaluation
- Unit testing
- Integration testing
- End-to-end testing
- Feature flags
- Canary releases
- AI tools
- Written communication
- MCP server
- SDKs
- Instrumentation libraries
- Analytics products
- Observability products
- Data visualization
- Highcharts
- D3
Location
- New York City, NY
Work Type
- Hybrid
- In-office 3 days per week
Experience Level
- 3+ years of experience shipping full-stack features to production in a SaaS environment
Education Level
- BS in Computer Science or equivalent experience
Salary/Compensations
- $148,000 - $178,000
Benefits
- Highly competitive, employer-heavy coverage including $0 premium options
- Strong 401(k) match
- Equity
- Flexible time off
About the Company
- Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success.
- Our mission is to improve society's experience with software.
- Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.
- Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.
Equal Opportunity
- We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success.
- We welcome all people of different backgrounds, experiences, abilities and perspectives.
- Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities.
- If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io.
- All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.