Jobs in the United States

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Added 5 mins ago
Technical Project Leader II
Serco USA
VA · Herndon, VA
Experience leading cloud modernization initiatives in Amazon Web Services or Microsoft Azure environments.
Added 6 mins ago
Staff Full-stack Engineer - Shopping (Remote-eligible)
Capital One
Frankfort, KY
Cloud computing (AWS, Microsoft Azure, Google Cloud)
Added 6 mins ago
Senior Staff Engineer - Agentic Identity
Cisco
Frankfort, KY
Deliver Developer Tooling & APIs: Build reusable APIs, SDKs, CLI tools, and integration patterns (including Model Context Protocol/MCP-based access) to enable seamless adoption across…
Added 6 mins ago
The Vice President, Enterprise Technology & Innovation
Omniscius Consulting
Ashburn, VA
Internal enterprise transformation: Transform how the organization operates through data, AI, automation, analytics, process redesign, and enterprise integration.
Added 6 mins ago
Sr Site Reliability Engineer -Remote US
SitusAMC
Frankfort, KY
Lead strategic initiatives for seamless application integration, orchestrating the collaboration of diverse software components to enhance overall system efficiency and drive optimal…
Added 6 mins ago
C
Senior QA Automation Engineer - Playwright & Selenium
Cognizant
Frankfort, KY
- $50,000 to $92,500 USD / year
…executing comprehensive test strategies across functional, integration, regression, and end-to-end testing efforts. You will leverage modern automation frameworks, perform API and database…
Added 6 mins ago
Core Senior .NET Software Engineer
Evolent
Frankfort, KY
Strong knowledge of cloud computing platforms (e.g., Azure, AWS, Google Cloud) and container orchestration tools such as Docker and Kubernetes.
Added 6 mins ago
C
Lead Data Engineer-Snowflake
Cognizant
Frankfort, KY
- $115,000 to $135,000 USD / year
Configure and support Snowpipe-based ingestion processes to enable reliable batch and near real-time data integration.
Added 6 mins ago
Architect, E-Commerce Engineering
Coppell, TX
…cloud-native applications with platforms such as GCP, AWS, or Azure, and observability tools such as New Relic, Datadog, or…
Added 15 mins ago
Frontend Engineer
Kyndryl, Inc.
Remote, United States
Strong REST API integration experience, including authentication/authorization, error handling, versioning, and working with JSON across third-party and internal systems.
Added 15 mins ago
Backend Engineer
Kyndryl, Inc.
Remote, United States
…experiences, including streaming responses, robust error handling, and integration with multi-agent orchestration…
Added 16 mins ago
Data Engineer
Accuity
United States
The Data Engineer designs, builds, tests, documents, and operates data pipelines and models on Accuity's Azure Databricks platform. Reporting to the Senior Manager, Data Operations, this…
Added 21 mins ago
Software Engineer
Mountain America Credit Union
Sandy, UT
Creates unit tests with appropriate code coverage, and assists quality engineers in developing automated integration tests and UI tests.
Added 24 mins ago
Senior Developer – MuleSoft Data Integrations
Forgent
Remote, United States
The Senior Developer – MuleSoft Data Integrations designs, builds, and supports the integration layer that connects Forgent Power’s enterprise applications. Working within Information…
Added 26 mins ago
A
Software Test Engineer
Actalent
Owatonna, MN
- $55 to $68 USD / hour
Perform functional, integration, system, regression, and end-to-end testing of embedded applications.
Added 27 mins ago
Principal, Cybersecurity Automation - Remote
Stryker Employment Company, LLC
Kalamazoo, MI
Experience building and operating production LLM-based solutions, including AI agents, retrieval-augmented generation, prompt design, tool integration, and evaluation.
Added 29 mins ago
Software Test Engineer
The Boeing Company
Maryland Heights, MO
Experience with software configuration management tools such as Team Foundation Server/Azure DevOps
Added 29 mins ago
Senior Cloud DevOps Developer
The Boeing Company
Hazelwood, MO
Experience designing, building, and operating Continuous Integration/Continuous Deployment (CI/CD) pipelines (e.g., GitLab, Artifactory, Azure DevOps, Jenkins)
Added 29 mins ago
Information Security Analyst
Stifel
Saint Louis, MO
…reporting, metrics/KPIs, training and awareness, security process integration and risk…
Added 29 mins ago
Software Engineer
H&R Block
KANSAS CITY, MO
Understanding of distributed systems and integration patterns
Added 29 mins ago
LR
.Net Developer
Levi, Ray & Shoup, Inc.
Kansas City, MO
- $50 to $80 USD / hour
LRS Consulting is on the hunt for a .Net Developer to help automate business operations and improve workflow efficiency across enterprise applications. This role will partner with internal…
Added 34 mins ago
Senior Engineer, Global Technology - Americas Capabilities
Expeditors
Grapevine, TX
7+ years of professional software engineering experience with strong fundamentals in architecture, APIs and integration, testing, security, observability, and maintainable code.
Added 34 mins ago
Senior Engineer, Global Technology - Americas Capabilities
Expeditors
Romulus, MI
7+ years of professional software engineering experience with strong fundamentals in architecture, APIs and integration, testing, security, observability, and maintainable code.
Added 34 mins ago
Senior Engineer, Global Technology - Americas Capabilities
Expeditors
Laredo, TX
7+ years of professional software engineering experience with strong fundamentals in architecture, APIs and integration, testing, security, observability, and maintainable code.
Added 34 mins ago
Senior Engineer, Global Technology - Americas Capabilities
Expeditors
Edison, NJ
7+ years of professional software engineering experience with strong fundamentals in architecture, APIs and integration, testing, security, observability, and maintainable code.

Cengage Learning Inc.

AI Engineer

TX, United States

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Job details

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

Original job description

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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