Base Salary
$171k - $190k/yr
Responsibilities
- Embed with operational teams to understand workflows and identify opportunities for agentic AI, deterministic software, automation, and human decision-making.
- Design, build, iterate, deploy, and operate production agentic systems, backend services, APIs, integrations, data pipelines, and human-in-the-loop workflows.
- Define reliability and quality targets and implement tracing, logging, metrics, alerting, fallbacks, and recovery across agents, models, dependencies, and workflow outcomes.
- Own production systems through incident response, operational analysis, debugging, and continuous improvements to resilience and reliability.
- Create evaluations and validation for task completion, output quality, tool selection, policy compliance, and failure handling across testing, rollouts, and production monitoring.
- Implement permissions, approvals, auditability, data minimization, reversible execution, and human escalation controls for consequential workflows.
- Develop reusable skills, shared services, platform components, integration patterns, architecture, deployment practices, and technical standards.
- Lead technical design, architectural decisions, and technical direction across teams.
Requirements
- Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics, or a related field, or one year of full-time software engineering experience.
- One year of total specialized software engineering experience in programming languages such as C, C++, Java, Python, or Go, which may include education, work experience, training, coursework, research, or similar experience.
- Strong experience designing and building production backend or distributed systems, including agentic applications, AI-enabled workflows, orchestration systems, developer platforms, APIs, asynchronous workflows, and system integrations.
- Experience owning and improving production systems through monitoring, alerting, incident response, failure recovery, and debugging across application, infrastructure, and data dependencies.
- Preferred: experience integrating LLMs with tools, APIs, enterprise data, and permissioned systems.
- Preferred: familiarity with agent evaluation, retrieval, context management, model routing, and safety controls.
- Preferred: experience in SRE, infrastructure, platform, production engineering, or a forward-deployed or embedded engineering model.
- Preferred: experience designing systems for sensitive or operationally consequential workflows.
- Preferred: ability to lead technical design, make architectural decisions, and influence technical direction across teams.
Benefits
- Base salary is USD $171,000–$190,000 per year for New York City and San Francisco roles.
- Eligibility for Uber’s bonus program and possible equity and other compensation.
- 401(k) plan and various benefits for full-time employees.
- The role is embedded directly with operational teams and includes a forward-deployed working model.
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.