1,000+ matching jobs for “Full-stack Engineer 5”

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The Home Depot

Senior AI Engineer (Remote)

STORE SUPPORT CENTER, ATLANTA - 9090

Pay posted by employer$100,000–$250,000

… The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that …

Added Oct 16, 2026

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Nvidia

Senior AI Workflow Engineer

Santa Clara, California, United States

… and Driverless Cars to cater to their infrastructure and software development workflow needs. As a senior engineer on AI Workflow, you will design and implement tools and software solutions that leverage Large Language …

Added Oct 27, 2026

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Huntington Bancshares

Tech Engineer Lead- Java

Columbus, Ohio, United States

… and open-system technologies . Lead the development of scalable, secure, highly available, and maintainable full-stack applications and microservices . Define and drive technical solutions aligned with enterprise architecture, …

Added Nov 3, 2026

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Capital One Financial

Data Engineer 4 (Manager, IC)

McLean, Virginia, United States

… with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Influence a team of developers, data analysts and data scientists with …

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4 (Manager, IC)

New York City, New York, United States

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4 - Payment Networks

New York City, New York, United States

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4 - Nexus Products

New York City, New York, United States

Added Oct 27, 2026

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Motorola Solutions

Senior DevOps Engineer (US REMOTE)

Waltham, Massachusetts, United States +14 locations

We’re looking for a highly skilled AWS DevOps Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD Pipelines. You will play a …

Added Nov 3, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

Principal Machine Learning Engineer Role Name: Principal Machine Learning Engineer Department Name: AI & Data Science Role GCF: 6A ABOUT AMGEN …

Added Oct 15, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

Principal Machine Learning Engineer Role Name: Principal Machine Learning Engineer Department Name: AI & Data Science Role GCF: 6A Hiring …

Added Oct 15, 2026

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Capital One Financial

Data Engineer 4 - ERM Transformation

Richmond, Virginia, United States +2 locations

Added Oct 27, 2026

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Stanley Black & Decker

Engineer III, Electro-mechanical

Towson, Maryland, United States

Full time
Regular

Pay posted by employer$72,000–$115,900

Engineer III, Electro-mechanical – Hybrid 3 Days in Office Towson, MD, USA Come make the world and accelerate your …

Added Oct 27, 2026

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Workday

Software Development Engineer - Agent Factory

Vancouver, British Columbia, Canada

Flex
Full time

Pay posted by employer$112,000–$168,000 CAD

… senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade …

Added Oct 27, 2026

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Android Multi-Device Experience Engineer

Bengaluru, Karnataka, India

Full time
Reg Employee

… in systems engineering, computer programming language, or a related field or an advanced degree with 3-5 years of work experience. Preferred Certifications • Certified Software Systems Engineer (CSSE) • Certified …

Added Oct 12, 2026

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RTX

Senior Software Engineer (Hybrid)

Rockford, Illinois, United States

… Required

 Security Clearance Status: Not Required Collins Aerospace is seeking a Senior Software Engineer to support the development of embedded flight software for electric power distribution and conversion …

Added Oct 27, 2026

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Cisco Systems

Technical Consulting Engineer

Bengaluru, Karnataka, India

… degree in Computer Science, or a related field (or equivalent experience) • 5-8 + years of experience in a technical support, engineering, or related customer-facing role …

Added Oct 27, 2026

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Allstate

Fullstack Software Engineer Senior Consultant I

US - Remote

Full time
Regular

… efficiency and service delivery. Role Overview The Full Stack Developer is a hands on, full stack engineer responsible for designing, developing, and supporting enterprise applications and integrations that enable …

Added Oct 27, 2026

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KLA

Opto-Mechanical Design engineer

Ann Arbor, Michigan, United States

Full time
Regular

Pay posted by employer$97,000–$142,267 per year

… by delivering high-impact work across your area of expertise. KLA is seeking an Opto-Mechanical Design Engineer to develop precision optical and mechanical subsystems for advanced semiconductor inspection and metrology …

Added Oct 15, 2026

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Walt Disney

Sr Product Software Engineer (iOS)

New York City, New York, United States +1 location

Full time
Regular

… The team responsible for building world-class news experiences for ABC News is seeking a Senior Software Engineer. This is a great opportunity to work on a leading news product at ABC News on its mission to inform and …

Added Oct 27, 2026

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Walt Disney

Sr Product Software Engineer (iOS)

New York City, New York, United States +1 location

Full time
Regular

Added Oct 27, 2026

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The Home Depot

Senior AI Engineer (Remote)

STORE SUPPORT CENTER, ATLANTA - 9090

Pay posted by employer$100,000–$250,000

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Required skills · employer excerpt

Experience: 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development skills and modern software engineering practices.
AI Delivery: Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems.
AI Foundations: Deep understanding of AI/ML foundations, including transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases.
Orchestration & Integration: Experience developing orchestration layers (task execution, routing, planning, workflows) and seamlessly integrating AI solutions with enterprise platforms, APIs, and business systems.
Infrastructure & MLOps: Expertise in cloud-native architectures, containerization (Docker) and orchestration (Kubernetes/GKE), infrastructure as code (e.g., Terraform), and AI pipeline design, with hands-on implementation of MLOps/LLMOps…

3 more in the full description below.

About this opportunity

Original employer description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that drive measurable business outcomes across The Home Depot. Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products.

This role involves developing scalable applications powered by LLMs, SLMs, Retrieval-Augmented Generation (RAG) frameworks, and autonomous agents. You will build the core orchestration layers for multi-agent workflows, tool integration, and planning, alongside the infrastructure required for reliable, large-scale cloud deployment. By partnering with product, engineering, and business teams, you will rapidly prototype solutions, navigate ambiguity, and seamlessly transition cutting-edge AI capabilities from concept to production.

Required skills

Experience: 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development skills and modern software engineering practices.
AI Delivery: Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems.
AI Foundations: Deep understanding of AI/ML foundations, including transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases.
Orchestration & Integration: Experience developing orchestration layers (task execution, routing, planning, workflows) and seamlessly integrating AI solutions with enterprise platforms, APIs, and business systems.
Infrastructure & MLOps: Expertise in cloud-native architectures, containerization (Docker) and orchestration (Kubernetes/GKE), infrastructure as code (e.g., Terraform), and AI pipeline design, with hands-on implementation of MLOps/LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and security) across the full AI/agent lifecycle.
AIOps & Deployment Reliability: Experience building automated CI/CD pipelines for AI/agentic systems, implementing progressive rollout strategies (canary, blue-green, and shadow deployments) with automated rollback, and establishing end-to-end observability (logging, metrics, distributed tracing, and automated alerting) across models, agents, and orchestration layers to ensure production reliability, performance, and cost/token efficiency at scale.
Optimization & Debugging: Demonstrated ability to optimize complex AI systems for performance, reliability, scalability, latency, cost efficiency, and token use, as well as debugging operational failure modes.
Execution & Collaboration: Excellent cross-functional communication and collaboration skills, with a proven ability to take AI solutions from concept to production in complex enterprise environments.

Key Responsibilities:

70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Direct Manager/Direct Reports:

This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager
This Position has 0 Direct Reports

Travel Requirements:

Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Preferred Qualifications:

Tools & Frameworks: Hands-on experience with Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, or similar orchestration tools and frameworks.
AI Infrastructure & Platform Tooling: Hands-on experience with infrastructure-as-code (e.g., Terraform), Kubernetes/GKE for container orchestration, GPU/accelerator provisioning and autoscaling, model registries, feature stores, and vector database operations at production scale.
Full‑stack skills: Node.js/React/REST, API design, performance optimization, Linux, Git, modern deployment toolchain.
Industry Context: Background in retail, supply chain, manufacturing, eCommerce, logistics, or finance where Applied ML is mature.
Guardrails & Reliability: Knowledge and experience in establishing Responsible AI, evaluation frameworks, reliability engineering, and AI governance guardrails.
Leadership & Innovation: A proven track record of driving innovation, delivering measurable business impact, mentoring engineering teams, and establishing AI engineering standards and best practices.
Master’s or bachelor’s in computer science, Artificial Intelligence, Machine Learning, or a related technical discipline.

Minimum Education:

The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Preferred Education:

No additional education

Minimum Years of Work Experience:

Preferred Years of Work Experience:

No additional years of experience

Minimum Leadership Experience:

None

Preferred Leadership Experience:

None

Certifications:

None

Competencies:

Global Perspective
Manages Ambiguity
Nimble Learning
Self-Development
Collaborates
Cultivates Innovation
Situational Adaptability
Communicates Effectively
Drives Results
Interpersonal Savvy

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:

The pay range for this position is between $100,000.00 - $250,000.00

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