Sr Staff Agentic Systems Engineer Job at Uber (Seattle)

Sr. Staff Software Engineer - Advanced Analytics Platform

At DISQO, we’re redefining how companies turn data into decisions. Our mission i...

Location

United States , Los Angeles, Glendale

Salary:

200000.00 - 240000.00 USD / Year

DISQO

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
5+ years architecting or building high-performance data systems or analytics platforms
3+ years of product Rust experience
Deep expertise in Rust and strong experience in Java
Proven track record building large-scale data analytics or OLAP systems from the ground up
Deep understanding of columnar data engines, vectorized execution, and query/dataframe optimization
Hands-on experience with performance engineering, profiling, and hardware-aware optimization
Strong expertise with AWS - designing, deploying, and optimizing large-scale data and compute systems in the cloud
A systems-thinking mindset
Thrives in a fast-moving, startup environment

Job Responsibility

Architect and deliver a high-performance Advanced Analytics Engine
Design and build an Agentic AI system that leverages this Advanced Analytics Engine
Partner with product, engineering and data teams to power agentic AI analytics systems
Profile, benchmark, and optimize Rust components
Leverage AWS cloud services to architect scalable, reliable, and cost-efficient analytics infrastructure
Shape the evolution of DISQO’s broader data platform and its integration across our product ecosystem
Mentor and guide engineers
Contribute to open-source or internal frameworks that advance analytical systems and distributed computation

What we offer

100% covered Medical/Dental/Vision for employee
Equity
401K
Generous PTO policy
Flexible workplace policy
Team offsites, social events & happy hours
Life Insurance
Health FSA
Commuter FSA (for hybrid employees)
Catered lunch and fully stocked kitchen

Fulltime

Staff Software Engineer

This position will design and build intelligent AI agent systems, LLM-based appl...

Location

United States , Dallas

Salary:

Not provided

JLL

Expiration Date

Until further notice

Requirements

4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
Experience working with vector databases, knowledge graphs, and RAG pipeline development
Advising on best practices for AI agent development and enterprise AI integration processes
Experience in deploying AI models and agents in multiple environments (dev, staging, production)
Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them
Proficient in developing, deploying, and orchestrating multi-agent AI systems
Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization

Job Responsibility

Design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications
Provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration
Develop and deploy agentic AI solutions that can autonomously perform complex business tasks

What we offer

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

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 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 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 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

New

Workday Senior Business Analyst

We’re in need of a self-motivator who can take hold of a project and run with it...

Location

United States , St Petersburg

Salary:

Not provided

Power Design

Expiration Date

Until further notice

Requirements

Workday system administration experience required. Specific to Payroll, Absence, Time Tracking, Expenses, Projects, Assets
Knowledge of Finance and Payroll business processes
ability to document business processes, generate clear and understandable business requirements
Customer focused individual who must be able to effectively work in a fast paced & fluid business environment with competing priorities and effectively collaborate across teams
Must be self-motivated, highly organized with the ability to prioritize independently while demonstrating a sense of urgency
Ability to produce accurate work under pressure with frequent deadlines
Ability to exercise confidentiality, tact and independent judgment in the performance of duties
Experience delivering system and process training
Proficient in Microsoft Office Suite

Job Responsibility

Manages the configuration, data audits, and overall functionality of Workday
Support all Workday users through daily operational support, such as troubleshooting problems, answering system related questions, delegating access, creating and / or modifying reports, and providing end-user training, as needed
Ensures data integrity and confidentiality within Workday and other Payroll & Finance technologies
regularly performs data audits, validations, and corrective actions, as necessary
Builds and grows business relationships and influence across IT, Finance, and Accounts Payable
works closely with business partners to understand business processes, goals and gaps
Follows an agile project management and change management process for prioritizing, configuring and testing user stories
Analyzes current processes and systems for overall effectiveness and recommends enhancements to optimize business processes
Updates and maintains system documentation

New

Service Coordinator

Location

Greece , Vrilissia; Nea Styra

Salary:

Not provided

Nordex Group

Expiration Date

Until further notice

Requirements

3+ years of experience in a planning environment
Experience in an operational Service role is preferred
Vocational training
Completed commercial or technical training or comparable qualification with relevant professional experience
High competence in planning methodology
Understanding of resource and capacity planning and budgeting
Understanding of contractual scope of works
Understanding of planned field activities and required technician qualification

Job Responsibility

Perform 1–3-week planning, considering team availability and their skills, safety equipment compliance, tooling availability and weather forecast
Ensures that resources are effectively deployed and staff workloads are balanced
Use SAP for planning, quality order management and reporting
Be the point of contact to customers regarding planned activities
Validate works on turbine and close Service orders
Able to train and sponsor Coordinators
Driving a high level of knowledge and best practices in the team
Be the point of contact for process improvements

What we offer

All the necessary trainning acording with the Global Wind Organisation (GWO)
Safety Programs and Trainning
Competitive salary and benefits package (commuter allowance, overtime pay, stand-by allowance, among others)
Career opportunities
Supportive work environment
And many other benefits that will help you perform your duties in the best possible conditions

Sr Staff Agentic Systems Engineer

Uber

Location:
United States , Seattle ▼
San Francisco
Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 11, 2026

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