Hiring: Sr. Staff Engineer (GenAI) Company: Uber Location: San Francisco, CA Job Posted Time: 2026-09-03 10:40:14 Employment Type: Full-time / Remote Target Skills & Keywords : A/B Testing, C++, CI/CD, Feature Flags, Fine-tuning, Java, LLM, Microservices, Python, RAG, gRPC About the job Experience: •10+ years building production ML/AI systems; 4+ years leading complex ML initiatives end-to-end. Required Skills: •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. Qualifications: •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). •Agentic architectures in production (planner/executor, memory, multi-step reasoning) and RAG over complex, policy-heavy knowledge bases. •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. •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: The base salary range for this role is USD $267,000 per year - USD $297,000 per year. •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. Compensation: •$267,000 per year •$297,000 per year •Flexible work environment (work from home / hybrid options) •What The Candidate Will Need / Bonus Points Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!