{"id":3768709,"url":"https://alion.io/job/cengage-ai-engineer","title":"AI Engineer","company":{"id":5721,"name":"Cengage","domain":"cengage.com","url":"https://alion.io/company/cengage","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":13,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":101900,"max":132450,"currency":"USD","period":"year","gross":null,"usd_annual":132450},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CloudFormation","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Go","optional":false},{"name":"Hugging Face","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rust","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Transformers","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"PostgreSQL","optional":true},{"name":"WebSockets","optional":true}],"status":"closed","first_seen_at":"2026-11-04T20:55:37Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T09:16:47Z","board_verified":false,"closed_at":"2026-11-06T09:16:47Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We believe in the power and joy of learning\nAt 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.\nAI/ML Engineer - Core AI\nThe 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.\nYour 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.\nKey Responsibilities\nRapid Prototype Development\nProduce fully working AI-enhanced application prototypes swiftly-from initial concept to working demonstration in just days\nDevelop end-to-end solutions including backend services, APIs, data pipelines, and frontend interfaces\nTransform business requirements and technical concepts into tangible, demonstrable applications\nIterate rapidly based on feedback, adjusting quickly to refine or redirect prototypes\nCreate reusable code libraries, templates, and scaffolding to accelerate future development\nEnsure prototypes are sufficiently robust to support collaborator demos and user testing\nAI-Assisted & AI-Forward Development\nLeverage AI coding assistants (Codex, GitHub Copilot, Claude, Cursor) to improve development speed and quality\nKeep up to date with new AI development tools and incorporate them into everyday workflows\nUse LLMs for code generation, debugging, refactoring, documentation, and test creation\nDevelop prompt engineering techniques to optimize AI-assisted coding output\nContribute to team guidelines for AI-augmented software development\nAssess and suggest new AI development tools and methodologies\nCloud Engineering & Infrastructure\nDevelop and deploy applications on AWS cloud platforms\nLeverage managed AI/ML services including AWS Bedrock, SageMaker, Agentcore, Stands SDK\nImplement serverless architectures (Lambda, Azure Functions) for rapid, scalable deployments\nDesign and build containerized applications using Docker and Kubernetes\nConfigure cloud infrastructure using IaC tools (Terraform, CloudFormation, Bicep)\nOptimize for cost, performance, and security in cloud environments\nAI/ML Integration & Engineering\nIntegrate LLMs and foundation models into applications with deep understanding of their capabilities and limitations\nImplement RAG (Retrieval-Augmented Generation) architectures, vector databases, and embedding pipelines\nBuild prompt engineering solutions, fine-tuning workflows, and model orchestration patterns\nBuild agentic AI systems and multi-step reasoning workflows\nApply core ML principles including model evaluation, inference optimization, and responsible AI practices\nConnect AI capabilities to enterprise data sources, APIs, and existing systems\nTechnical Skills\nLanguages & Frameworks\nPrimary: Python (FastAPI, Flask, Django), JavaScript/TypeScript (Node.js, React, Next.js)\nSecondary: Go, Rust, Java, or C# - ability to pick up new languages quickly\nAI/ML: PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face Transformers\nData: SQL, pandas, Apache Spark; experience with vector databases (Pinecone, Weaviate, pgvector)\nCloud Platforms\nAWS: Lambda, Step Functions, Bedrock, SageMaker, S3, DynamoDB, API Gateway, ECS/EKS, EventBridge\nInfrastructure: Terraform, CloudFormation, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI)\nAI Creation Tools\nAI Programming Helpers: Codex, Copilot, Claude, Cursor, Kiro\nLLM APIs: OpenAI, Anthropic Claude, AWS Bedrock, Azure OpenAI, Google Vertex AI\nDevelopment: VS Code, JetBrains IDEs, Jupyter notebooks, Git version control\nRequired Qualifications\nBachelor's degree in Computer Science, Software Engineering, or related field; or equivalent experience\n5+ years of professional software engineering experience building production applications\nSolid experience in Python and JavaScript/TypeScript; familiarity with at least one other programming language\nExtensive practical experience working with AWS cloud platforms\nDemonstrated experience building AI/ML-powered applications with LLMs and modern AI frameworks\nFamiliarity with LLM internals, prompt engineering, RAG architectures, and AI/ML principles\nRegular user of AI coding assistants with proven methods for AI-enhanced development\nExperience with containerization, serverless architectures, and infrastructure-as-code\nStrong problem-solving skills; ability to work independently and ship fast with minimal direction\nPortfolio or examples of rapidly built prototypes or applications\nPreferred Qualifications\nExperience with fine-tuning LLMs and custom model training\nExperience in developing agentic AI systems and autonomous workflows\nAWS and/or Azure certifications (Solutions Architect, Developer, AI/ML Specialty)\nExperience with real-time applications, WebSockets, and streaming architectures\nContributions to open-source AI/ML projects\nExperience in EdTech or learning technology industry\nFamiliarity with MLOps practices and model deployment pipelines\nFull-stack development experience including modern frontend frameworks\nKey Competencies\nVelocity - Ships working code fast; optimizes for speed without sacrificing core quality\nPolyglot Approach - Comfortable across languages and platforms; picks up new tech quickly\nAI-Native Thinking - Instinctively brings to bear AI tools to amplify productivity and capabilities\nFull-Stack Versatility - Builds complete applications from infrastructure to UI\nPragmatic Engineering - Makes smart tradeoffs; knows when \"good enough\" enables progress\nSelf-Direction - Thrives with autonomy; doesn't wait for detailed specifications\nWhat We Offer\nHigh-impact Core AI role building the future of AI at a leading learning company\nFreedom to work with brand-new AI technologies and development tools\nFast-paced, innovation-focused environment that values speed and experimentation\nDirect visibility with AI leadership\nCompetitive compensation and comprehensive benefits\nProfessional development and continuous learning opportunities\nFlexible remote/hybrid work arrangements\nCengage 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.\nCengage 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 .\nAbout Cengage\nCengage, 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.\nCompensation\nAt 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.\nThe 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.\nIn 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.\n10% Annual: Individual Target$101,900.00 - $132,450.00 USD","description_format":"text","description_chars":8910,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":true}]},"benefits":["Continuous learning","Equity","Hybrid work","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["EdTech Platforms","Publishing"],"lifecycle":[{"event":"open","at":"2026-11-04T20:55:37Z"},{"event":"close","at":"2026-11-06T09:16:47Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":132450,"is_top_pay":false},"html_url":"https://alion.io/job/cengage-ai-engineer","json_url":"https://alion.io/job/cengage-ai-engineer.json","meta":{"generated_at":"2026-11-07T07:11:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1955,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5721},"rest":"https://alion.io/mcp/rest/get_company?id=5721"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcengage-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcengage-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcengage-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/cengage-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcengage-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3768709}},{"tool":"search_jobs","arguments":{"company":"cengage.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3768709},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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