Jobs in the United States

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Added 1 min ago
Senior Security Engineer (Remote)
Fanatics Betting & Gaming
NY · Jacksonville, FL
As a Sr. Security Engineer at Fanatics Betting & Gaming (FBG), your knowledge and experience in designing, implementing and maintaining security measures will help the organization stay…
Added 1 min ago
🌍 Sr. Full-Stack Software Engineer, Remote- Contract
Xperteez Technology
Remote, United States
Implement user-facing features and the services, APIs, and data models that support them.
Added 1 min ago
Warehouse Clerk - Various Shift
GXO Logistics
Kansas City, MO
We engineer faster, smarter, leaner supply chains.
Added 3 mins ago
Principal Machine Learning Engineer
Vail Resorts
PA
We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and…
Added 4 mins ago
Manufacturing Engineer
Rand Precision Machining
Corry, PA
Added 4 mins ago
Entry Level Electrical Engineer
GANNETT FLEMING INC
Ebensburg, PA
Added 5 mins ago
CE
Tech Ops Engineer II - AMZ10322415
Confidential Employer
Fairless Hills, PA
- $118,298 to $183,300 USD / year
Added 5 mins ago
Human factors engineering co-op
GlaxoSmithKline LLC
Collegeville, PA
Added 5 mins ago
Project Engineer I
Acutec Precision
Meadville, PA
…highly regulated environment. We are seeking a motivated Project Engineer. The Project Engineer I is a key manufacturing role responsible for researching, designing, implementing and…
Added 5 mins ago
Systems Engineer - US Remote
Motorola Solutions, Inc.
Plymouth Meeting, PA
Added 5 mins ago
Director, IT Engineering, Data and Analytics
TAIT Towers
Lititz, PA
Lead TAIT's Enterprise Data, Integration and AI Engineering organization, responsible for enterprise applications, data platforms, cloud engineering, system integrations, analytics and AI…
Added 5 mins ago
EC
Lead Mechanical Engineer
Eaton Corporation
Moon Township, PA
- $97,000 to $143,000 USD / year
Eaton is seeking a Lead Mechanical Engineer for its Advanced Technology team within the Electrical Sector’s “Protection, Control and Solutions” group. The expected annual salary range for…
Added 5 mins ago
Operating engineer
JLL
Malvern, PA
Added 5 mins ago
Industrial Software & Applications Engineer
Robert Half
Canonsburg, PA
Description We are looking for an Industrial Software & Applications Engineer to join a permanent team supporting industrial technology initiatives in Pennsylvania. This position blends…
Added 5 mins ago
Water Infrastructure & Resilience Engineer (Civil/Environmental/Mechanical)
CONCURRENT TECHNOLOGIES CORPORATION
Johnstown, PA
Added 5 mins ago
Entry Level Electrical Engineer
GANNETT FLEMING INC
State College, PA
Added 5 mins ago
BP
Mechanical Engineer (Repair Part Engineering Team)
Bechtel Plant Machinery, Inc.
Monroeville, PA
- $68,300 to $129,100 USD / year
Added 5 mins ago
Senior Network Engineer
Milton Hershey School
Hershey, PA
Added 5 mins ago
Supervisor Transmission Planning - Transmission Planning & Protection
FirstEnergy
Greensburg, PA · Reading, PA
Must live within a 45 minute comm
Added 5 mins ago
Expression of Interest for Engineering Graduate - Lehigh University
Worley Parsons
Reading, PA
…your discipline (e.g., design, analysis, project controls, data, or planning tools). * Proficiency with the Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). * Strong analytical…
Added 5 mins ago
Expression of Interest for Engineering Graduate - Penn State University
Worley Parsons
Reading, PA
…your discipline (e.g., design, analysis, project controls, data, or planning tools). * Proficiency with the Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). * Strong analytical…
Added 6 mins ago
Staff Product Test Capability Engineer
Nokia of America Corporation
Allentown, PA
Added 6 mins ago
Photonic Test Engineer
Nokia of America Corporation
Allentown, PA
Added 6 mins ago
Staff Optical Test Development Engineer
Nokia of America Corporation
Allentown, PA
Added 6 mins ago
Member of Product Staff
Meta
Harrisburg, PA
Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity.

GlaxoSmithKline LLC

Senior, Full Stack Engineer

Philadelphia, PA, United States

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Job details

Posting language: English
Posted: Oct 27, 2026

Original job description

Enterprise AI (EAI) builds AI products that combine real modelling work with user-facing applications, and ships them to production. Full Stack Engineers move across data, models, platforms, APIs and interfaces in a single workflow. In our operating model, digital workers do much of the hands-on build. They generate services, APIs, interface components and tests, run evaluations and monitor what is in production. Our engineers set the architecture and standards that work is built to, and own the quality of what ships. EAI products and agents draw on a governed context layer that makes data, meaning, permissions and history retrievable at the moment they are needed. Full Stack Engineers build the products and agents that consume it, and decide how that context reaches users. The Senior Full Stack Engineer leads the design and delivery of a significant AI product area, spanning modelling workflows and user-facing applications. The role sets the team's standards for APIs, AI integration, interfaces and observability, designs the agentic research systems that drive continuous iteration, and mentors junior and mid-level engineers. 1. Leads a significant AI product area across modelling workflows, platforms and APIs and user-facing interfaces, owning architecture, quality and outcomes. 2. Defines how the team builds with digital workers through the API, integration and interface standards and the review patterns their work must meet within EAI's operating model. 3. Designs agentic research systems that drive continuous experimentation, evaluation and product iteration, and raises the engineering bar by mentoring junior and mid-level engineers. Key Responsibilities Technical Leadership & Research Practice 1. Set technical direction for the product area and its modelling pipelines, defining boundaries, evaluation strategies and defensible trade-offs on performance, reliability and cost. 2. Design agentic research systems: auto-research agents that run experiments and synthesise findings, agents that monitor and improve production models, and agents that scaffold and iterate on features. 3. Partner with product, design and research to shape what gets built, challenging weak ideas and communicating trade-offs clearly. Agent-Operated Engineering 1. Define the team's patterns for agent-generated work within EAI's operating model: what digital workers build and change on their own, which evaluation gates their work must pass, and when it needs human review. 2. Set the team's AI-assisted development patterns for coding and research agents, establishing safe, effective use the team adopts. Platforms & APIs 1. Lead the design of API layers that serve multiple consumers, defining integration contracts and non-functional requirements for the team. 2. Set or improve API design standards used across the product area, and guide others on backend architecture decisions. 3. Lead the creation of shared infrastructure and tooling that materially reduces integration cost across multiple teams, and drive its adoption. AI Integration & Context 1. Design AI orchestration architectures at production scale: agent frameworks, multi-step workflows, retrieval, tool use, guardrails and integration patterns. 2. Define the team's standards for AI integration, evaluation and responsible deployment, including how the product area's products and agents draw on the governed context layer with clear permissions and provenance. Resolve production AI failure modes as they arise. AI-Native Experience 1. Lead frontend architecture for the product area, defining the UI patterns and component library the team works from. 2. Drive AI interface design that achieves measurable adoption, with confidence signals, error states, provenance and human-override paths, and guide others on UX engineering quality. LLMOps & System Health 1. Lead the eam's LLMOps and observability strategy, designing evaluation pipelines and production monitoring at scale. 2. Define standards for AI model lifecycle management, versioning and inference cost tracking across the product area. Standards & Mentorship 1. Set engineering standards for the team, written to be followed by humans and digital workers alike, with measurable improvements in test coverage, API contract quality and deployment reliability. 2. Mentor junior and mid-level engineers through pairing, review and direct feedback, with visible improvement in their delivery capability. Why You? Basic Qualification We are seeking professionals with the following required skills and qualifications to help us achieve our goals: 1. Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics or a related quantitative field, or equivalent practical experience 2. 8+ years of combined experience across applied ML or data science and full-stack engineering, with significant time leading delivery of complex, user-facing AI products. 3. Expertise across the AI product stack, including modelling and evaluation, modern frontend frameworks, backend services and cloud deployment, such as React or Next.js, Python or TypeScript, and AWS, Azure or GCP. 4. Experience leading the design of API layers that serve multiple consumers, with integration contracts and non-functional requirements others build to. 5. Experience designing AI orchestration at production scale: LLM integration, retrieval, tool and function calling, agent frameworks, evaluation, and cost, latency and quality trade-offs. 6. Experience leading frontend architecture and LLMOps for a product area, including evaluation pipelines, production monitoring and model lifecycle management. 7. Experience designing and operating agentic systems that drive continuous research or product iteration, and AI-assisted development patterns a team adopted. Preferred Qualification If you have the following characteristics, it would be a plus: Master's or PhD preferred, in Computer Science, Data Science, Statistics, Applied Mathematics or a related quantitative field, or equivalent practical experience. Technical lead for one or more AI products combining modelling and full-stack delivery, from first build through to scale. Built or improved internal developer or research tooling, particularly for AI-assisted development and auto-research. Experience in a regulated indust

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Skills

Workflow
EAI
API development
Computer science
Statistics
ML
React
Next.js
Python
TypeScript
AWS
Microsoft Azure
Google Cloud

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Jobs in the United States