Staff AI Security Engineer - (Agentic Systems) Job at Uber (New York)

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Mathematics, or a related field
Master’s or Ph.D. preferred, or equivalent professional experience
7+ years of hands-on industry experience with AI and machine learning
3+ years of experience working with LLMs in large-scale production environments
Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
Proven leadership in designing and deploying AI solutions at scale
Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
Experience with distributed systems and cloud-based AI infrastructure
Strong problem-solving and strategic thinking abilities
Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production

Job Responsibility

Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems

What we offer

Variety of medical, dental, and vision plans
Paid parental leave
Monthly Health & Wellness allowance
Work from home office stipend
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Base salary, equity, and a variety of benefits

Fulltime

Staff Software Engineer, AI Runtime

We’re seeking a Staff Software Engineer to help power the future of agentic AI w...

Location

United States

Salary:

185000.00 - 215000.00 USD / Year

Apollo GraphQL

Expiration Date

Until further notice

Requirements

Expertise in agent-to-tool orchestration, routing, and coordination in scalable, fault-tolerant systems
Deep expertise in Rust programming language
Strong background in distributed systems, server architecture, and high-performance backend development
Proven experience with protocol design, message routing, and server-side orchestration frameworks
Experience building and maintaining robust runtime infrastructure that supports AI-driven workflows and enables reliable agent-to-tool interactions
Proven experience with protocol design, message routing, and building server-side frameworks that enable scalable, reliable multi-tool agent workflows
Hands-on experience with observability, monitoring, and debugging frameworks for complex systems
Passion for clean, maintainable code, high system reliability, and scalable architecture
Experience in strategic system design, making architectural trade-offs, and planning for long-term scalability and maintainability
Strong technical leadership and mentorship, including guiding junior engineers and driving engineering best practices across teams

Job Responsibility

Architect and scale an enterprise AI/MCP Server and Gateway that powers multi-agent workflows across Apollo, including routing, orchestration, and integration boundaries
Design and implement robust server infrastructure to ensure reliability, performance, and security at scale
Build and maintain tools for agent discovery, communication, and coordination
Define deployment strategies and runtime optimizations to maximize efficiency and minimize operational overhead
Develop frameworks and patterns that enable seamless multi-agent collaboration and AI-driven orchestration
Integrate observability, logging, and monitoring for full visibility into server and agent behavior
Explore and implement AI-enhanced developer workflows to optimize orchestration and agent interactions
Collaborate with teams across Apollo to ensure the MCP Server meets evolving product and developer needs

What we offer

Offers Equity
Choice of 3 Anthem Blue Cross medical plans (California residents can also choose from an additional 2 Kaiser medical plans)
Dental and Vision benefits are provided by Sun Life Financial

Fulltime

Staff AI Innovation Engineer, Employee Experience

Architect the next generation of Airbnb’s internal operating system by designing...

Location

United States

Salary:

180000.00 - 225000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years in product management, AI engineering, and/or platform architecture, with hands-on experience building and launching AI/ML-powered products
Proven 0→1 builder with extensive experience developing GenAI prototypes, tools, and platforms from scratch
Ability to produce functional prototypes (using Claude Code or similar) within hours and stakeholder-ready demos within days
Strong systems-thinking skills with the ability to map complex workflows, diagnose root causes, and design buildable solutions
Expertise in prompt engineering, context orchestration, and adapting LLM behavior to different users, workflows, and decision contexts
Data-informed decision-maker who can define success criteria, measure ROI, and refine models and workflows
Skilled in communicating technical concepts to non-technical audiences
Highly collaborative, systems-oriented, and adept at connecting dots across people, tools, and processes
Strong visual and narrative communication skills (Figma, Miro, slideware)
Portfolio of prototypes or relevant 0→1 work preferred but not required

Job Responsibility

Translate employee and manager workflows into well-defined AI product opportunities
Rapidly prototype and test working solutions (LLM agents, workflow automations, microapps, embedded tools, etc.)
Architect systems integrations across our HR tech stack (Workday, Greenhouse, Qualtrics, Airtable, RightAnswers, Asana, and more)
Lead discovery sessions with stakeholders to uncover automation and augmentation opportunities
Evaluate third-party AI tools and determine build vs. buy options
Design and execute fast-cycle pilots across knowledge management, decision support, communications, and resource planning
Define success metrics, measure impact, and iterate based on user feedback
Translate complex AI architectures into clear narratives that help stakeholders understand value and adoption paths
Ensure alignment with Airbnb’s privacy, security, and ethical AI guardrails
Continuously evolve EX’s AI strategy as organizational needs and technologies shift

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Staff Software Engineer, Core AI

As a Staff AI Engineer on our Core AI team, you will be a cornerstone of FloQast...

Location

United States , San Jose

Salary:

164000.00 - 246000.00 USD / Year

FloQast

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience
4+ years focused on building backend for production applications
Mastery of Python
Familiarity with some AI application frameworks, context engineering, and scalable system design for AI products
Expertise in designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
Proven ability to lead tech product initiatives, establish technical standards and communicate complex system designs to both technical and business stakeholders

Job Responsibility

Architect and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
Design and implement our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
Master context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance

What we offer

Medical
Dental
Vision
Family Forming benefits
Life & Disability Insurance
Unlimited Vacation

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

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

Staff Security Engineer, Privacy Engineering & AI

The Security and Privacy Architecture team is Uber's technical privacy authority...

Location

United States , Seattle, Washington; San Francisco, California; Sunnyvale, California

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Security, or a related technical field
8+ years in software engineering, security engineering, or privacy engineering
Demonstrated hands-on building: you have personally designed and prototyped technical solutions, not just reviewed or advised on them. You should be able to walk us through your technical approach and design decisions in depth
Expertise in privacy engineering: anonymization, data minimization, deletion/retention architecture, etc.
Strong understanding of distributed systems, service-oriented architectures, and modern data platforms
Experience leading complex cross-functional technical initiatives across multiple teams
Experience defining technical standards for new technology areas
Strong communication skills. You can explain privacy/technical tradeoffs clearly to engineers, legal partners, and senior leadership

Job Responsibility

Design and prototype privacy and security controls for AI systems — prompt/log handling, fine-tuning data pipelines, vector stores, and agentic tool integrations
Lead privacy design reviews and architectural assessments for high-impact systems including large-scale data platforms, real-time streaming infrastructure, advertising systems, and new AI products
Build working anonymization PoCs for unstructured data and multimedia, going beyond regex to handle complex entity types, multi-locale data, and contextual identifiers
Identify recurring manual privacy/security processes and convert them into scalable automations, templates, and platform capabilities
Partner with Security, Privacy Legal, Product, Infrastructure, Compliance, and Ads teams on complex privacy workstreams
mentor engineers on privacy-by-design and safe AI system design

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Staff AI Security Engineer - (Agentic Systems)

Uber

Location:
United States , New York ▼
Seattle
San Francisco
Sunnyvale

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 16, 2026

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