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Added 48 mins ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
Brings substantial professional experience as a data scientist, machine learning engineer, NLP engineer, AI engineer, or AI/software architect, with a track record of building and deploying…
Added 54 mins ago
Senior System Software Engineer, DGX Cloud AI Infrastructure
NVIDIA USA
CA
We’re looking for a Senior Software Engineer for the NVIDIA Recovery and Resilience team. You’ll own our AI infrastructure services, tools and open-source projects to support resilient and…
Added 54 mins ago
Senior Deep Learning Software Infrastructure Engineer
NVIDIA USA
CA
…We are in search of a Deep Learning Software Infrastructure Engineer to propel NVIDIA’s Autonomous Vehicles project forward. In this role, you will build and scale training libraries and…
Added 1 hour ago
Software Integration Engineer, Autonomy
42dot
San Francisco
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI…
Added 1 hour ago
Sr. Calibration, Mapping & Localization Engineer
42dot
San Francisco
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI…
Added 1 hour ago
Sr. Software Integration Engineer, Autonomy
42dot
San Francisco
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI…
Added 1 hour ago
Calibration, Mapping & Localization Engineer
42dot
San Francisco
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI…
Added 2 hours ago
O
Principal Core Infrastructure Engineer
Oracle
Austin, TX
- $114,600 to $234,600 USD / year
Oracle Cloud Infrastructure (OCI) is hiring a Principal Core Infrastructure Engineer to join the Next Gen Network Observability team. Help build cloud-scale intelligence systems that enable…
Added 2 hours ago
Principal Software Engineer - Agentic AI & Simulation Automation
Irving, TX
This Principal Engineer role is a hands-on technical leadership position responsible for architecture, critical implementation, engineering standards, cross-team alignment, and mentoring.
Added 3 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 hours ago
AI Data Scientist Intermediate
Geisinger System Services
Danville, PA
Added 3 hours ago
Systems Engineer
Mind Robotics
Palo Alto, CA
We're looking for a Systems Engineer to own the requirements and architecture baseline for the robot - from decomposing high-level behaviors into measurable, traceable specs, to making sure…
Added 3 hours ago
AI/ML Computational Science Associate Manager
Accenture LLP Company
United States
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
Added 3 hours ago
Applied AI Engineer Intern
Parspec
San Mateo, CA
We’re seeking an Applied AI Engineer Intern to join Parspec. This role is part of the AI team and works closely with Product and Engineering on fast-moving, real-world applications of AI.
Added 3 hours ago
AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)
Capital One
McLean, VA · Cambridge, MA · San Jose, CA · NY
…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…
Added 3 hours ago
AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)
Capital One
McLean, VA · San Francisco, CA · Cambridge, MA · San Jose, CA · NY
…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…
Added 3 hours ago
Director, Full-Stack Engineer - AML (Anti Money Laundering)
Capital One
NY · McLean, VA · Cambridge, MA
As a Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of banking in the cloud. You will partner closely with…
Added 3 hours ago
A
Sr. Lead Application Developer
ADP
Roseland, NJ
- $107,400 to $264,300 USD / year
ADP Innovation Labs is looking for a Sr. Lead Software Engineer with extensive NodeJS experience to join an emerging team.
Added 3 hours ago
Data Engineer, Clinical Operations
Bristol Myers Squibb
Princeton, NJ
As a Data Engineer , you will play a vital role in supporting the broader Data Engineering community to deliver cutting-edge data and analytics platforms for our Global Drug Development…
Added 4 hours ago
GL
Principal - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $205,425 to $342,375 USD / year
…£40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients…
Added 4 hours ago
Staff - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
…£40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients…
Added 4 hours ago
Hardware Design Engineer Intern
Emerson
Round Rock, TX
Use simulation and analysis tools to evaluate circuit, thermal, or mechanical performance before hardware is built.
Added 4 hours ago
Analytical Engineer
USAA
Plano, TX
Experience working with high-volume, complex enterprise data and optimizing solutions for performance, scalability, maintainability, and cost.
Added 4 hours ago
Controls Engineer, Data Center Engineering
Apple
Dallas, TX
…experience? We are actively seeking a Data Center Controls Engineer who will thrive among a team of thinkers and doers, designing and deploying the integrated control systems that keep…
Added 4 hours ago
Staff Databricks Platform Engineer
Southern Glazer's Wine and Spirits
Dallas, TX
The Staff Databricks Platform Engineer owns the engineering of Southern Glazer's Databricks lakehouse as a product: the workspaces, governance model, compute fabric, and automation that…

Closed listing

Cengage Learning Inc.

AI Engineer

TX, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 5+ years of professional software engineering experience building production applications
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

We believe in the power and joy of learning At Cengage, our employees have a direct impact in helping learners around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

AI/ML Engineer – Core AI The AI/ML Engineer for Core Systems - Core AI team is a high-output, full-stack engineering role aimed at quickly producing fully functional AI-powered application prototypes. This is a hands-on position for a versatile engineer who acts swiftly, codes in multiple languages, and uses AI-assisted development tools to considerably accelerate delivery. Your role involves turning concepts into functional applications, not simply mock-ups or wireframes. You will build prototypes that prove business value and technical feasibility. The ideal applicant is proficient in modern programming languages and has strong experience working with AWS services. You adopt AI-forward development techniques using tools like Open AI Codex, GitHub Copilot, Claude, and other AI coding assistants. You have engineering-level knowledge of LLMs and core AI/ML concepts and can integrate these technologies into production-ready software.

Key Responsibilities

Rapid Prototype Development

Produce fully working AI-enhanced application prototypes swiftly-from initial concept to working demonstration in just days
Develop end-to-end solutions including backend services, APIs, data pipelines, and frontend interfaces
Transform business requirements and technical concepts into tangible, demonstrable applications
Iterate rapidly based on feedback, adjusting quickly to refine or redirect prototypes
Create reusable code libraries, templates, and scaffolding to accelerate future development
Ensure prototypes are sufficiently robust to support collaborator demos and user testing

AI-Assisted & AI-Forward Development

Leverage AI coding assistants (Codex, GitHub Copilot, Claude, Cursor) to improve development speed and quality
Keep up to date with new AI development tools and incorporate them into everyday workflows
Use LLMs for code generation, debugging, refactoring, documentation, and test creation
Develop prompt engineering techniques to optimize AI-assisted coding output
Contribute to team guidelines for AI-augmented software development
Assess and suggest new AI development tools and methodologies

Cloud Engineering & Infrastructure

Develop and deploy applications on AWS cloud platforms
Leverage managed AI/ML services including AWS Bedrock, SageMaker, Agentcore, Stands SDK
Implement serverless architectures (Lambda, Azure Functions) for rapid, scalable deployments
Design and build containerized applications using Docker and Kubernetes
Configure cloud infrastructure using IaC tools (Terraform, CloudFormation, Bicep)
Optimize for cost, performance, and security in cloud environments

AI/ML Integration & Engineering

Integrate LLMs and foundation models into applications with deep understanding of their capabilities and limitations
Implement RAG (Retrieval-Augmented Generation) architectures, vector databases, and embedding pipelines
Build prompt engineering solutions, fine-tuning workflows, and model orchestration patterns
Build agentic AI systems and multi-step reasoning workflows
Apply core ML principles including model evaluation, inference optimization, and responsible AI practices
Connect AI capabilities to enterprise data sources, APIs, and existing systems

Technical Skills Languages & Frameworks

Primary: Python (FastAPI, Flask, Django), JavaScript/TypeScript (Node.js, React, Next.js)
Secondary: Go, Rust, Java, or C# – ability to pick up new languages quickly
AI/ML: PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face Transformers
Data: SQL, pandas, Apache Spark; experience with vector databases (Pinecone, Weaviate, pgvector)

Cloud Platforms

AWS: Lambda, Step Functions, Bedrock, SageMaker, S3, DynamoDB, API Gateway, ECS/EKS, EventBridge
Infrastructure: Terraform, CloudFormation, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI)

AI Creation Tools

AI Programming Helpers: Codex, Copilot, Claude, Cursor, Kiro
LLM APIs: OpenAI, Anthropic Claude, AWS Bedrock, Azure OpenAI, Google Vertex AI
Development: VS Code, JetBrains IDEs, Jupyter notebooks, Git version control

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, or related field; or equivalent experience
5+ years of professional software engineering experience building production applications
Solid experience in Python and JavaScript/TypeScript; familiarity with at least one other programming language
Extensive practical experience working with AWS cloud platforms
Demonstrated experience building AI/ML-powered applications with LLMs and modern AI frameworks
Familiarity with LLM internals, prompt engineering, RAG architectures, and AI/ML principles
Regular user of AI coding assistants with proven methods for AI-enhanced development
Experience with containerization, serverless architectures, and infrastructure-as-code
Strong problem-solving skills; ability to work independently and ship fast with minimal direction
Portfolio or examples of rapidly built prototypes or applications

Preferred Qualifications

Experience with fine-tuning LLMs and custom model training
Experience in developing agentic AI systems and autonomous workflows
AWS and/or Azure certifications (Solutions Architect, Developer, AI/ML Specialty)
Experience with real-time applications, WebSockets, and streaming architectures
Contributions to open-source AI/ML projects
Experience in EdTech or learning technology industry
Familiarity with MLOps practices and model deployment pipelines
Full-stack development experience including modern frontend frameworks

Key Competencies

Velocity – Ships working code fast; optimizes for speed without sacrificing core quality
Polyglot Approach – Comfortable across languages and platforms; picks up new tech quickly
AI-Native Thinking – Instinctively brings to bear AI tools to amplify productivity and capabilities
Full-Stack Versatility – Builds complete applications from infrastructure to UI
Pragmatic Engineering – Makes smart tradeoffs; knows when "good enough" enables progress
Self-Direction – Thrives with autonomy; doesn't wait for detailed specifications

What We Offer

High-impact Core AI role building the future of AI at a leading learning company
Freedom to work with brand-new AI technologies and development tools
Fast-paced, innovation-focused environment that values speed and experimentation
Direct visibility with AI leadership
Competitive compensation and comprehensive benefits
Professional development and continuous learning opportunities
Flexible remote/hybrid work arrangements

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws. Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com.

About Cengage Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

In this position, you will be eligible to participate in the company’s discretionary incentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.

10% Annual: Individual Target $101,900.00 - $132,450.00 USD

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