[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Uber jobs](https://jobs.opennash.com/companies/uber/) · [Search jobs](/search/) Uber · San Francisco, CA # Sr. Staff Engineer (GenAI) San Francisco, CA, United States Full-time Senior individual contributor $267,000 per year Operations Listed on Uber’s official careers site. Posted September 11, 2026. Check that it is still open and apply there. [Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/149191) [OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Sr. Staff Engineer (GenAI) ## Job description Sr. Staff Engineer (GenAI) About the Role Uber’s Customer Obsession team builds the platform and AI that powers world‑class support across mobile, web, and voice at global scale. We are now hiring a Senior Staff Engineer to architect, productionize, and scale an autonomous support agent that resolves customer issues end‑to‑end. Experience with agentic architectures is an important pre-requisite to be successful in this role. You’ll push the state of the art in GenAI for customer service—LLM orchestration, evaluation, safety guardrails, multilingual support, and real‑time voice—while holding a very high bar for reliability and cost efficiency. We are still at an early stage and value candidates with bias for action who get creative with GenAI tools to accelerate execution and experimentation. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Own the end‑to‑end agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on‑brand conversations. Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries; design graceful degradation (e.g., human handoff) and safety guardrails (prompt‑injection, jailbreak, PII redaction). ### Advance retrieval & reasoning Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded. ### Establish evals that matter offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM‑as‑judge (with calibrated human review) wired into CI/CD and experiment platforms. ### Drive automation at scale partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact. Mentor/principal‑lead multiple pods; set technical strategy and quality bars; coach senior engineers on agentic patterns, reliability, and experiment velocity. ---- Basic Qualifications ---- 10+ years building production ML/AI systems; 4+ years leading complex ML initiatives end‑to‑end. Deep expertise in LLM‑driven systems (inference optimization, prompt/program design, fine‑tuning, distillation/LoRA, safety/guardrails, evals). Strong software engineering in Python plus one of Go/Java/C++; hands‑on with microservices, gRPC/HTTP, cloud infra, containers, CI/CD, and real‑time telemetry/observability. Demonstrated ownership of high‑availability services (SLO/SLA design, incident response, on‑call leadership, postmortems). Track record of shipping customer‑facing intelligent experiences with measurable impact (A/B testing, metrics literacy). ---- Preferred Qualifications ---- Agentic architectures in production (planner/executor, memory, multi‑step reasoning) and RAG over complex, policy‑heavy knowledge bases. Experience building support automation for large consumer platforms (routing, policy codification, internal tooling, co‑pilot/auto‑resolve). Multilingual NLU/NLG (code‑switching, low‑resource languages), hallucination mitigation, safety red‑teaming, and privacy‑by‑design. ### Practical expertise balancing speed and reliability at scale experiment frameworks, feature flags, canary/guarded rollouts, and clear kill‑switches. ## Responsibilities ### For San Francisco, CA-based roles The base salary range for this role is USD $267,000 per year - USD $297,000 per year. ### For Sunnyvale, CA-based roles For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. ## At a glance - Posted by the employer: Sep 11, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 38 days - Location: San Francisco, CA, United States - Employment type: Full-time - Pay: $267,000 per year[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/149191) ## More jobs at Uber ### [Audio/Visual Application Engineer](https://jobs.opennash.com/companies/uber/jobs/311ba6bbd23a5693d84b/) San Francisco, CA, United States ### [Manager, Acquisition Strategy & Operations](https://jobs.opennash.com/companies/uber/jobs/c72c6739f9aaee3cb2aa/) San Francisco, CA, United States ### [Manager, Autonomous Mobility Ops](https://jobs.opennash.com/companies/uber/jobs/39e413ebbdf9c0a1f3d9/) San Francisco, CA, United States ### [Principal Engineer, UAIS](https://jobs.opennash.com/companies/uber/jobs/572902308e717edf35b0/) San Francisco, CA, United States ### [Product Operations Manager, Identity](https://jobs.opennash.com/companies/uber/jobs/c56bfbfef4de42436632/) San Francisco, CA, United States ## Similar jobs at other companies ### [Lead Software Engineer - Python - GenAI](https://jobs.opennash.com/companies/jpmorganchase/jobs/3f16524a22bed2035dec/) JPMorganChase · Plano, TX, United States ### [Software Engineer III - GenAI Patterns](https://jobs.opennash.com/companies/jpmorganchase/jobs/2b3e51ea540fed36231a/) JPMorganChase · Plano, TX, United States ### [Staff Software Engineer, Inference Performance Optimization, GenAI, DeepMind](https://jobs.opennash.com/companies/alphabet/jobs/8648dc0d937b4e8787f7/) Alphabet · Mountain View, CA, USA ### [Staff GenAI Engineer - Application Performance Monitoring (APM)](https://jobs.opennash.com/companies/datadog/jobs/7776d84726f58e304e70/) Datadog · New York ### [Staff GenAI Engineer - Silicon Design](https://jobs.opennash.com/companies/micron-technology/jobs/6459ed6e038499c16a52/) Micron Technology · San Jose, CA OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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