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

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Capital One Financial

AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)

New York City, New York, United States +4 locations

… upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San …

Added Oct 27, 2026

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Capital One Financial

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)

San Jose, California, United States +3 locations 2 postings

Added Oct 27, 2026

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Capital One Financial

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

New York City, New York, United States +4 locations

Added Oct 27, 2026

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Marvell Technology

Principal Network Engineer/AI Fabrics Architect, AI Solutions Lab

Santa Clara, California, United States

Regular

… degree in Computer Science, Computer Engineering, Network Engineering, or a related field; a PhD is a plus. 5- 15 years relevant experience. • Vendor network infrastructure certifications such as CCNP, CCIE, …

Added Nov 3, 2026

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Workday

Senior Site Reliability Engineer - US Federal (VDI & Infrastructure)

USA.VA.Reston

Flex
Full time

… security and rigorous adherence to compliance frameworks. Basic Qualifications Experience: Minimum of 5 years of experience in SRE, DevOps, or Cloud Operations. Environment: At least 3 years of experience …

Added Oct 27, 2026

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CDW

Senior Engineer - Managed Services - Mainframe z/OS ISV

Concord, North Carolina, United States

Remote
Regular

Pay posted by employer$107,300–$150,180

… Bachelor’s degree in Information Systems, Information Technology, Computer Science, or related field and 5 years experience installing, maintaining, and supporting mainframe software products for IBM mainframes and …

Added Nov 3, 2026

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Capital One Financial

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

New York City, New York, United States +4 locations 2 postings

… agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. …

Added Nov 4, 2026

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Travelers

Sr. Software Engineer – AI and Automation (Team Breeze)

Hartford, Connecticut, United States +1 location

Hybrid
Full time
Regular

Pay posted by employer$142,900–$235,800

… OpenTelemetry or Dynatrace, structured logging with correlation IDs, cost tracking and incident handling. Full-Stack and Data Pipeline Ownership Comfortable working across Python and TypeScript/Node 24 in the service layer …

Added Nov 3, 2026

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RTX

Design Methods Engineer – Model‑Based Tools & Digital Definition (Onsite)

East Hartford, Connecticut, United States

Pratt & Whitney is seeking a highly skilled Model‑Based Tools Design Methods Engineer to accelerate and strengthen the company’s digital design ecosystem and support enterprise Model‑Based …

Added Oct 27, 2026

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Capital One Financial

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory)

San Francisco, California, United States +4 locations

Added Oct 27, 2026

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RTX

Développeur logiciel - Analyse d'essai moteur / Software Developer - Engine Test Analysis

CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG

… en génie logiciel/informatique, électrique, mécanique ou aérospatial avec au moins 8 ans d'expérience (ou 5+ ans avec un diplôme de maîtrise); Expérience en tant que développeur Full-Stack, avec une expertise dans …

Added Oct 27, 2026

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Broadcom

Staff Software Architect

Hyderabad, Telangana, India

Full time
Regular

Job Description: Staff Software Engineer - Full-Stack & AI-Assisted Engineering Modern Full-Stack Software Engineering with AI Coding Tools …

Added Oct 5, 2026

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Capital One Financial

Senior Director Software Engineering

McLean, Virginia, United States +2 locations

Senior Director Software Engineering As a Senior Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of …

Added Oct 27, 2026

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Nvidia

Solutions Architect - AI Factory, North Africa

UAE, Dubai +1 location

… storage, cluster management, workload orchestration. Guide customers through adoption of NVIDIA's full-stack platform. Run proof-of-concepts, workshops, technical enablement, demos, and architecture solution reviews, …

Added Oct 27, 2026

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Nvidia

Solutions Architect, AI Factory - CIS Region

Armenia, Yerevan +1 location

Added Oct 27, 2026

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Nvidia

Solutions Architect - AI Factory, South Africa

UAE, Dubai +1 location

Added Oct 27, 2026

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Walt Disney

Mgr, Software Engineering

Bengaluru, Karnataka, India

Full time
Regular

… Required Skills and Experience: 8+ years of development experience, preferably full stack. Additional 5+ years managing engineering and technology delivery teams. Demonstrated knowledge and working experience …

Added Oct 27, 2026

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Nvidia

Principal Architect, System Software - Orbital Data Center

Santa Clara, California, United States +1 location

… interfaces, partitioning, and trade-offs across silicon, board, firmware, OS, and AI workload layers for 5-year LEO missions. Own end-to-end system software architecture for Space-1 and successor Orbital Data …

Added Oct 27, 2026

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Capital One Financial

Senior Director, Ad Tech Engineering, Capital One Shopping Tech (Remote - Eligible)

McLean, Virginia, United States +1 location

… within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies Lead the craftsmanship, availability, resilience, and scalability of …

Added Oct 27, 2026

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Capital One Financial

Sr. Manager Software Engineering IC

Mexico City, Mexico

… Advanced English fluency Bachelor’s Degree At least 8 years of experience in software engineering At least 5 year experience with cloud computing (AWS) 8+ years of experience in at least one of the following: Python, …

Added Oct 28, 2026

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Capital One Financial

AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)

New York City, New York, United States +4 more

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Basic Qualifications · employer excerpt

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI,…
At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java

About this opportunity

Original employer description

AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

What You’ll Do:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment
Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift
Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met
Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation

The Ideal Candidate:

You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss
You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown

Basic Qualifications:

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java

Preferred Qualifications:

Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting AI services
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Experience in building agentic AI systems and agentic workflows
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale
Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules
Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for AI Engineer 4

McLean, VA: $197,300 - $225,100 for AI Engineer 4

New York, NY: $215,200 - $245,600 for AI Engineer 4

San Francisco, CA: $215,200 - $245,600 for AI Engineer 4

San Jose, CA: $215,200 - $245,600 for AI Engineer 4

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Why this result? · Employer labels

Keywords also found in description

AI & ML Engineering and Sciences

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.