Sr Staff Agentic Systems Engineer Job at Uber (Seattle)

Sr AI Engineer - Agentic Systems

As a core technical leader within our Agentic AI initiatives, you will shape the...

Location

United States , Anywhere

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

8+ years of relevant software engineering experience
Proven track record of technical leadership (as a Senior, Staff, or Principal Engineer) shipping complex, large-scale systems
Strong foundations in scaling distributed systems and production-grade infrastructure
Experience with LLM Platforms: Inference optimization and fine-tuning strategies
Experience with Data & Retrieval: Advanced retrieval systems and memory architectures
Experience with Agent Frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems
Experience with AI Ops: Evaluation, observability, and safety frameworks for production AI systems
Experience with Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI
Experience with Tool Integration: Tool use, API execution frameworks, and human-in-the-loop validation systems
Operational Excellence: Experience setting clear technical goals, identifying architectural risks, and systematically clearing tech-debt gaps

Job Responsibility

Drive Technical Strategy: Own the architectural roadmap and delivery of Dialpad’s Agentic infrastructure, core orchestration layers, memory architectures, and evaluation/observability systems
Build & Scale: Design and deploy scalable, multi-modal AI agents capable of autonomous support, real-time voice reasoning, and secure API tool execution across complex enterprise workflows
Mentor & Influence: Act as a technical anchor for the organization, raising the engineering bar, mentoring senior peers, and defining technical standards for an AI-native SDLC
Partner Cross-Functionally: Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with Dialpad’s long-term business strategy
Push the Frontier: Research and implement emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and cutting-edge safety/policy guardrails to keep Dialpad at the absolute forefront of the era of the agent

What we offer

Competitive salary
Comprehensive benefits
Real opportunities for growth
Cutting-edge AI tools
Robust training program
Inclusive office environment

Fulltime

Sr. Staff Engineer, Operations Engineer

At GEICO, we offer a rewarding career where your ambitions are met with endless ...

Location

United States , Seattle; Palo Alto; Chevy Chase

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Infrastructure technologies knowledge in a hybrid cloud environment such including Containerization, VMs, CI/CD pipeline, IaC
Extensive experience in engineering and solution delivery in a dynamic service provider environment
Strong program and project management skills with proven experience coordinating projects across multiple teams, with successful project/product delivery at scale
Working knowledge of security services and their impact on production systems including runtime protection services, detective and protective agents and/or daemon sets, vulnerability and application scanning, etc.
Experience in a multi-platform environment with Linux, Mac, Windows
Experience communicating and presentating to senior and junior staff with the ability to influence stakeholders
Detail and deadline oriented with effective organizational and analytic skills
Strong critical thinking, problem solving, decision making, and analytical skills
Outstanding time management skills and attention to detail
Excellent verbal/written communication skills, including the ability to clearly document findings, proposals, issues, and status

Job Responsibility

Monitor and track signals of security gaps, initiative delays, compliance risks due to system issues, and drive resolution
Create visuals on current state of the union related to security engineering
Help to develop standards on reporting tool effectiveness, maturity, resilience and other factors in determining risks as they come up
Help drive automation of routine tasks to drive growth in security protection and detection technologies
Provide expert guidance, demonstrations and lead discussions on security best practices to stakeholders and leadership
Works in lockstep with our CSIRT, GRC, Tech and partner teams to ensure protection coverages, proper detection event notifications, documentation and standards we can all use
Organize, store and manage operational best practices documentation for security solutions to protect our platforms including endpoint, cloud, collaboration, identity and network
Partner with the project sponsors, delivery teams, and stakeholders to deliver quality solutions on time and within budget by coordinating project activities across multiple systems, departments, and teams
Create, maintain, and actively manage a detailed project schedule, change control process, and documentation
Identify and raise appropriate security risks, in addition to presenting detailed and implementable solutions or alternatives

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Sr Staff Engineer - Core Infrastructure

We are seeking a Senior Staff Engineer (L6) to lead the technical strategy and e...

Location

United States , New York; Seattle; San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience, with a focus on massive-scale distributed systems or infrastructure
Proven Track Record at Scale: Experience managing infrastructure that supports millions of concurrent users or petabyte-scale data processing
Deep Systems Expertise: Mastery of Kubernetes internals, container runtimes, and the Linux kernel, with the ability to debug impossible performance bottlenecks
Cloud-Native Fluency: Deep experience with cloud-native networking (Envoy, CNI, Service Mesh) and multi-cloud (AWS/GCP) architecture
Coding Proficiency: Expert-level proficiency in Go, Java, or C++
Leadership: Demonstrated ability to lead 40+ person technical initiatives and influence VPs and GMs on infrastructure investment

Job Responsibility

Architect Strategic Efficiency: Own the technical vision to drive fleet-wide CPU utilization and unit-cost optimization through ARM adoption (targeting XM+ cores) and silicon diversity
Scale AI & ML Infrastructure: Define the architecture for shared GPU pools and high-performance clusters to support 300x larger ranking models and Autonomous Vehicle data ingestion
Modernize the Data Plane: Drive the convergence of Uber’s networking stack toward industry standards (Kubernetes, Envoy, CNI) while enhancing SkyEdge for active-active multi-cloud resilience
Enforce Foundations & Reliability: Lead the 100% Done-Done initiative, ensuring every service follows standardized safe-deployment (Starship) and reaches 100% zero-trust authorization
Agentic Augmentation: Integrate AI-driven Minions and AIOps into the infrastructure to automate 80% of alerts and unlock thousands of years of developer productivity
Cross-Org Influence: Partner with Delivery, Rides, and AV teams to ensure the infrastructure isn't just a container, but a competitive advantage that accelerates their time-to-market
Mentor Staff+ Engineers: Act as a force multiplier by coaching the next generation of technical leaders and influencing company-wide engineering standards

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits

Fulltime

Sr Staff Engineer Software, Fullstack (Prisma AIRS) - NetSec

Join our team building a cutting-edge multi-tenanted GenAI Security Platform tha...

Location

India , Bengaluru

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Proven experience building and scaling multi-tenant SaaS platforms with strict data isolation
Strong knowledge of API design, RESTful principles, and OpenAPI specifications
Proficiency in modern JavaScript frameworks (React, Vue, or Svelte) with TypeScript
Experience building data-intensive dashboards with complex visualisations and real-time data
Strong CSS/styling skills and responsive design principles
Demonstrated experience working with production AI/ML systems at scale
Practical experience integrating LLM APIs and managing inference at scale
Understanding of LLM operational challenges: rate limiting, cost optimisation, latency management, fallback strategies
Familiarity with AI agent frameworks (LangChain, AutoGen, MCP, or similar)
Knowledge of prompt engineering, semantic search, and vector databases

Job Responsibility

Design and implement high-performance REST APIs with enterprise-grade multi-tenant isolation and strict security boundaries
Work on distributed systems architecture handling high-throughput workloads with mission-critical uptime requirements
Build responsive dashboards and administrative interfaces for platform management, data visualisation, and system configuration
Integrate multiple LLM providers, implement semantic search capabilities, and build intelligent agent workflows
Architect complex, multi-step AI evaluation pipelines for asynchronous job execution and large-scale data processing
Design and implement database schemas with proper indexing, query optimisation, and data isolation strategies
Build and maintain scalable micro-services with async/await patterns and type-safe code
Develop data-intensive UIs with real-time updates, complex state management, and intuitive user experiences
Deploy and manage containerised applications on Kubernetes with comprehensive observability
Write thorough tests (frontend and backend) and maintain high code quality standards with automated tooling

Fulltime

Sr. Staff Engineer (Conversational/Voice AI)

Uber’s Customer Obsession team builds the platform and AI that powers world‑clas...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

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)

Job Responsibility

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)
Lead voice agent initiatives: Drive the development of Uber’s voice support agent—covering real-time speech recognition (ASR), text-to-speech, natural turn-taking (barge-in and endpointing), and reliable telephony/WebRTC integration
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

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
eligible for various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

Sr Staff Software Engineer

As a Senior Staff Software Engineer, you will be a key contributor to Teradata’s...

Location

United States , San Diego

Salary:

156400.00 - 234700.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

10 to 12 years of working experience as a Software Developer
Experience with large-scale, enterprise grade software development in C/C++ programming language, including: Low level TCP/IP protocol, Inter-process communications, Debugging multi-threaded applications
Strong data structure, multi-threading and algorithms fundamentals
Multi-cloud and On Premises platforms exposure
Very good understanding of common public cloud technologies - storage, communication, and security
Knowledge of SQL and understanding of relational databases, including, Referential Integrity, Columnar vs. Row Storage, Triggers, and Stored Procedures
Strong background in database internals and analytics through working exposure
Knowledge of diverse concepts and techniques for creating systems with High Availability and Resilience
Experience working on high-availability data replication solutions achieving near‑zero RTO and RPO
Knowledge of modern storage options, including objects stores, sharded data, and data replication techniques

Job Responsibility

Design, develop, test, and maintain Teradata’s In-Database Replication offering, a critical business continuity solution for its customers worldwide
span the full product development lifecycle, including requirement analysis, architecture and design, development, testing, and ongoing maintenance of new and existing features
engage with the associated technologies and environments necessary to ensure successful, high-quality product delivery
may also provide support for released products

What we offer

healthcare
life and disability insurance plans
401(k)-retirement savings plan
time-off programs

Fulltime

Sr Staff ML Engineer - Production & MLOps Focus - GenAI Security Platform

Join our team building a cutting-edge multi-tenanted GenAI Security Platform tha...

Location

India , Bengaluru

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

4+ years of ML engineering experience with hands-on LLM/NLP work
Practical experience building LLM-based applications (agents, multi-turn systems, evaluators)
Understanding of model fine-tuning, embedding optimization, and prompt engineering
Experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI)
Knowledge of LLM orchestration frameworks ( LangChain, LlamaIndex, Pydantic AI, custom solutions)
Familiarity with model architectures and when to fine-tune vs prompt engineer
Strong experience deploying ML models to production at scale
Experience with Model serving frameworks (vLLM preferred
TensorRT-LLM, Ray Serve, or similar a plus)
Kubernetes and Docker proficiency for ML workload orchestration

Job Responsibility

Build and deploy LLM-based agents and multi-step evaluation workflows
Fine-tune models, optimize embeddings, and manage model weights and artifacts
Deploy and scale ML services on Kubernetes with proper monitoring and resource management
Implement experiment tracking, model versioning, and deployment automation
Develop observability dashboards for ML metrics, costs, latency, and quality
Optimize LLM API usage through caching, batching, and intelligent routing strategies
Manage vector database infrastructure and semantic search systems
Create CI/CD pipelines for ML artifacts and automated testing frameworks
Collaborate with ML researchers to productionize prototypes and scale experiments

Fulltime

Sr Staff AI Software Engineer (CORA AI)

Idira is looking for a Senior AI Software Engineer to join our Generative AI fou...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience
Extensive experience in software engineering, with a focus on building and deploying production-grade systems
Proven experience with cloud platforms, particularly AWS services
Strong programming skills in languages such as Python
Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs)
Experience with the full software development lifecycle (design, development, testing, deployment, maintenance)

Job Responsibility

Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities
Manage the full software development lifecycle, from prototyping to production-grade, observable systems
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions
Champion operational excellence through pragmatic experimentation, iteration, and solid design

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Sr Staff Agentic Systems Engineer

Job Description

Job Responsibility

Requirements

What we offer

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