Engineering Manager 2 — Applied AI Job at Uber (San Francisco, California)

Principal Engineering Manager - Applied AI

We are looking for a Principal Engineering Manager to join our growing Applied A...

Location

United States , Seattle

Salary:

240870.00 - 297652.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
4+ years working as an engineering manager
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming language
Substantial depth and breadth of management experience to lead and grow an Applied AI team
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, project planning, iterative implementation, and successful product launches

Job Responsibility

Lead a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Grow, coach, build and scale the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

AI Software Engineer

Join Qargo as an AI Software Engineer and help build intelligent, user-centric A...

Location

Belgium , Ghent

Salary:

Not provided

Qargo

Expiration Date

Until further notice

Requirements

Min. 2 years of experience in software engineering, applied AI, or similar technical roles
Strong programming skills (preferably Python and/or modern backend languages)
Experience with AI/ML tools and frameworks such as PyTorch, Hugging Face, LangChain/LangGraph, vector databases, and inference tooling
Proven experience deploying and operating AI/ML systems in a production environment
Ability to experiment quickly, iterate fast, and validate assumptions
Strong problem-solving skills and the ability to work autonomously in a fast-paced environment
Clear communication skills and the ability to collaborate with engineers, product managers, and domain experts

Job Responsibility

Evaluate and prototype with new AI models and techniques to solve document, workflow, and conversational tasks
Bring AI prototypes to production, ensuring quality, scalability, and observability
Monitor and maintain AI systems running in production, optimising cost, latency, and reliability
Collaborate with cross-functional teams to define clear AI tasks (e.g., document classification, summarisation, task prediction)
Develop and enhance AI-driven features such as document extraction, matching flows, quality checks, chatbots, and automated bookings
Stay up to date with advancements in AI and identify opportunities to improve the product

What we offer

Real impact and ownership in a growing international scale-up
A supportive and collaborative team culture
Hybrid working setup with flexibility and trust
Opportunities to learn, grow, and expand your technical knowledge
Competitive salary and benefits package

AI Application Engineer

As an AI Application Engineer at Rearc, you'll contribute to the technical excel...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in AI engineering, machine learning (ML), or related fields, bringing valuable expertise in building and deploying intelligent systems
Strong understanding of state of the art techniques in generative AI, including large language models (LLMs), text generation and other foundation models
Familiarity with AI orchestration tools (e.g. LangGraph, CrewAI, Bedrock Agents, smolagents, etc)
Experience in fine-tuning, prompt engineering or otherwise adapting generative models for specific use cases
Experience with AI model evaluation, including human-in-the-loop and LLM judge paradigms
Familiarity with NLP libraries and frameworks
Hands-on experience in implementing Retrieval Augmented Generation (RAG) architectures and integrating retrieval systems with generative models
Knowledge of at least one vector store or database (e.g. Opensearch, Pinecone, PostgreSQL with pgvector) and techniques for similarity search
Familiarity with common data ingestion/ETL patterns for populating knowledge bases
Experience with implementing LLM tool calling (either directly, via an orchestration framework, or using Model Context Protocol (MCP) clients)

Job Responsibility

Collaborate with Colleagues – Work closely with colleagues to understand customers' business objectives and technical challenges, contributing to the design and development of effective GenAI solutions tailored to client needs
Apply GenAI Principles – Utilize modern tools and frameworks like LangGraph, to build scalable, reliable, and maintainable Compound AI systems. Leverage your understanding of AI fundamentals to ensure every project meets rigorous industry and ethical standards
Adapt to the latest Technologies & Patterns – continue to research, learn, and stay abreast of the most recent state of the art for AI application development
Promote Knowledge Sharing –Bolster our culture of continuous learning by sharing knowledge about AI engineering best practices through blog posts, articles, and internal talks. Support a collaborative environment that fosters shared expertise and ongoing innovation across our community

Manager - AI Observability

The Manager, Machine Learning Engineering will oversee the strategic implementat...

Location

United States , Bellevue; Atlanta; Overland Park; Frisco

Salary:

155300.00 - 280100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Data Science, Computer Science/Engineering, or Information Technology
2-4 years of proven experience leading highly effective teams in AI/ML operations
4-7 years of experience managing CI/CD pipelines, governing ML models, and applying best practices
Solid understanding of AI and ML concepts, frameworks, and methodologies
Deep understanding of cloud platforms and services (e.g., Azure, Google Cloud, AWS)
Proficiency in programming languages such as Python, R, or Java and experience with AI/ML libraries (e.g., Pyspark, TensorFlow, PyTorch, Scikit-learn)
Experience with data management and analysis tools, including SQL and data visualization software
Ability to stay ahead of industry trends and drive innovation
Excellent project management skills with experience managing multiple projects simultaneously
Strong analytical and problem-solving skills with the ability to interpret complex data sets

Job Responsibility

Lead and manage AI and ML operations
Collaborate with data scientists, engineers, and UI developers to design, develop, and deploy AI/ML solutions
Manage and evaluate performance of AI/ML systems
Develop and implement strategies, policies, and best practices for AI/ML workflows
Lead project timelines, budgets, and resources.

What we offer

Medical, dental, and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off and paid holidays
Paid parental and family leave
Family building benefits
Back-up care
Enhanced family support

Fulltime

Manager, Machine Learning - Community Support Engineering

The Community Support Platform (CSP) at Airbnb is a critical system that drives ...

Location

United States

Salary:

204000.00 - 255000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

Expertise in various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products
Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences
Strong leadership skills with a track record of nurturing an innovative and collaborative team environment
Exceptional verbal and written communication abilities, with a keen eye for detail
Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally
Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches
PhD, or Master's degree in Computer Science, Mathematics, Statistics, or related technical field
10+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs
5+ years managing machine learning teams that deliver large impact
Expert knowledge of machine learning algorithms and techniques

Job Responsibility

Lead and mentor a dynamic team of highly skilled applied scientists and machine learning engineers in the research, design and optimization of AI models and services
Develop and refine the overarching strategy for the ML and AI aspects of our community support products, focusing on scalability, quality, safety, performance, and reliability
Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives
Evaluate technical trade-offs in key decisions, ensuring optimal outcomes through data-backed strategies
Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Ai Azure Enterprise Automation Engineer

Baptist Health Information Services is looking for an Enterprise Automation Engi...

Location

United States , Jacksonville

Salary:

Not provided

Baptist Health (Florida)

Expiration Date

Until further notice

Requirements

Bachelor's Degree or Equivalent Experience
Over 5 years of Information Technology Experience Required
Experience designing or implementing AI-driven automation agents that support IT operations, observability, or cloud management by autonomously identifying and resolving issues
Familiarity with Large Language Model (LLM) integration (e.g., OpenAI, Claude, Gemini) for code generation, decision support, or infrastructure recommendations
Exposure to multi-agent orchestration frameworks such as LangChain, AutoGen, or Microsoft Autonomous Agents for coordinating complex, layered workflows
Integration of AI agents into DevOps workflows or incident response tooling
Understanding of prompt engineering, retrieval-augmented generation (RAG), or vector database utilization (e.g., Azure Cognitive Search, Weaviate) in the context of enterprise systems
Contributions to open-source automation or AI platforms that demonstrate thought leadership or technical innovation
Familiarity with healthcare IT standards and constraints (e.g., HIPAA compliance, identity management in clinical workflows) as they apply to automation and AI integration
Azure VMs, Virtual Networks, Storage Accounts, Azure AD

Job Responsibility

Expert level engineering skills across a broad range of technology stacks and programming languages
As an SRE at Baptist Health you will be a member of a team dedicated to improving our resiliency, reliability, observability, and scalability through different methodologies and tools
You will have the drive to improve and define how we automate, observe, scale, and operate enterprise services
Design and build infrastructure & systems that provide high levels of scalability, reliability, performance, and security across Azure and on-prem environments
Automate manual processes by designing and implementing end-to-end automation pipelines that reduce operational friction, eliminate repetitive tasks, and enforce consistency through Infrastructure-as-Code and CI/CD practices
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for all core services
Improve observability of all enterprise services with actionable monitoring, logging, and alerting using tools like Azure Monitor, Application Insights, and SolarWinds
Develop playbooks and runbooks to guide operations teams and support staff in managing infrastructure efficiently and safely
Partner with Digital Cloud Development Operations, Application Development, and Product teams to ensure new systems are designed for reliability and maintainability
Work closely with vendors and cloud providers (Azure, AWS, GCP) to optimize infrastructure and troubleshoot escalated issues

Fulltime

Forward Deployed Product Manager

The ideal Forward Deployed Product Manager (FDPM) candidate is a customer obsess...

Location

United States , San Mateo

Salary:

170000.00 - 240000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Strong technical background (CS/EECE background and/or production level development experience) or technical product management experience
Intimate familiarity with LLMs, fine-tuning, model inference, agents etc.
2 - 5+ years of experience in products for software engineers
Strong customer interaction skills, deep customer success focus
Ability to communicate highly technical concepts to all kinds of audiences including the latest AI developments
Focus on driving outcomes, not just technical milestones
Ability to navigate complex customer/technical scenarios and come up with creative solutions

Job Responsibility

Engage directly with customers from fast-moving startups to large enterprises, to identify use cases and convert interest into long-term usage and expansion
Define and propose tailored solutions and proof-of-concepts (POCs) that demonstrate the value of Fireworks’ platform in real customer environments
Lead onboarding and implementation efforts, including fine-tuning workflows, latency benchmarks, API integration, and infrastructure alignment
Act as a trusted technical advisor to customers, helping shape their GenAI strategy using Fireworks infrastructure
Translate customer insights into structured product definition, identifying common themes and high-leverage feature requests
Collaborate closely with engineering and applied ML teams to align customer needs with technical roadmap
Drive execution of product development, ensuring that new products land successfully with customers
Oversee Fireworks roadmap, ensuring that reflects customer needs

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Engineering Manager: Applied (Gen) AI - Payments

The Applied Gen(AI) team is a pioneering unit within Adyen’s Payments department...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

2+ years of experience leading engineering teams
5+ years of hands-on experience in Software Engineering and AI development
Strong foundation in core Software Engineering (e.g. Java or Python)
Experience with deploying (Gen)AI/Machine Learning in production

Job Responsibility

Impact-Driven Leadership: Drive the team autonomously toward success by focusing on measurable business and organizational outcomes that reduce operational friction
Strategic Stakeholder Management: Effectively "manage up" and exercise influence across the organization to align AI initiatives with Adyen’s overarching vision
Formula Fit Execution: Champion the "Adyen Formula" by launching products fast and iterating based on real-world feedback to ensure constant value delivery
Product Discipline: Partner with product peers to lead prioritization and roadmapping, pragmatically balancing technical debt with the delivery of innovative AI features
People Management: Act as a dedicated mentor and coach to grow engineering talent. This role involves growing the team (hiring and headcount planning) and focusing on the development of the current team
Technical Guidance: Provide architectural direction for AI and software engineering projects, ensuring solutions are scalable, reliable, and secure. We expect a player-coach mindset, where you balance people management, strategy, architecture and hands-on work
Team Environment: Cultivate a culture of ownership, autonomy, and open communication where constructive feedback is the norm

Engineering Manager 2 — Applied AI

Uber

Location:
United States , San Francisco, California ▼
Sunnyvale, California

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 19, 2026

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