{"id":1769159,"url":"https://alion.io/job/lenovo-ai-application-developer-2","title":"AI Application Developer","company":{"id":15044,"name":"Lenovo","domain":"lenovo.com","url":"https://alion.io/company/lenovo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Morrisville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":118000,"max_usd":226000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":987},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Django","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-03T14:54:48Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-06T19:31:30Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary: We are seeking an AI Application Developer to join our U.S.-based AI Application Solutions team. You will design and develop AI-driven software solutions that translate machine-learning models, predictive analytics, anomaly detection, and large-language-model reasoning into scalable, reliable backend services and applications.\nThis is a hybrid role based in our office in Morrisville, NC\nRoles and Responsibilities:\nDesign and Implementation\nDesign and develop AI-driven software solutions that translate machine-learning models, predictive analytics, anomaly detection, and large-language-model reasoning into scalable, reliable backend services and applications.\nBuild, test, and maintain enterprise-grade applications using Python, leveraging frameworks such as FastAPI, Flask, or Django, with a focus on clean architecture, modular design, and maintainability.\nDevelop and integrate machine-learning pipelines for training, evaluation, deployment, and monitoring of models using libraries such as scikit-learn, TensorFlow, PyTorch, or similar.\nImplement LLM-powered capabilities including semantic search, intelligent assistants, automated summarization, and recommendation systems using modern AI frameworks and APIs.\nDesign and optimize data processing workflows for structured and unstructured data, ensuring performance, scalability, and reliability in high-volume production environments.\nCollaborate closely with data scientists, AI/ML engineers, and frontend teams to align model outputs with application logic, APIs, and user-facing requirements.\nBuild and maintain APIs and services that expose AI and ML functionality securely and efficiently to internal and external consumers.\nImplement logging, monitoring, and analytics to track model performance, system health, feature adoption, and workflow bottlenecks.\nMaintenance\nEnsure best practices in software engineering, including unit testing, integration testing, CI/CD pipelines, version control, and code reviews.\nOptimize system performance, reliability, and scalability across cloud or hybrid environments.\nTranslate business and operational requirements into robust technical solutions that improve automation, decision-making, and overall system intelligence.\nOwn the end-to-end functionality of AI-enabled software components, from development through deployment and ongoing optimization.\nBasic Requirements:\nBachelor’s degree in Software Engineering, Computer Science, Artificial Intelligence, or a related field.\n5+ year of experience developing software applications using C#, JavaScript, Python, or similar technologies.\nPreferred Skills\nPrior experience collaborating with a global team\nStrong verbal, written, and spoken communication skills\nWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected 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