AI Developer

Vidoori Inc.

. Design, develop, test, and maintain AI-powered applications, features, services, and integrations .

Posted 10/21/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI-powered applications and machine learning systems, with a strong focus on responsible AI practices, data governance, and collaborative development. Proficient in translating business requirements into technical designs and ensuring the quality and performance of AI solutions.

Highest-signal resume keywords

AI Application DevelopmentMachine Learning SystemsPython ProgrammingAPI DevelopmentResponsible AI Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development PrinciplesData StructuresAlgorithmsTesting and DebuggingMachine Learning ConceptsData ProcessingVersion ControlCollaborative Development PracticesGenerative AI ApplicationsPrompt Engineering

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

PyTorchTensorFlowScikit-learnCloud PlatformsContainerisationCI/CDMLOpsVector DatabasesData ProtectionInformation Security

Certifications & Qualifications

Relevant DegreeProfessional TrainingCertification in AI or Machine Learning

Industry Keywords

AI GovernanceData GovernancePrivacyFairnessTransparencyReliabilityAgile

Tech Stack

Tools & technologies

CloudJavaJavaScriptPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design, develop, test, and maintain AI-powered applications, features, services, and integrations
Translate business requirements into technical designs and AI solutions
Develop and integrate machine learning and generative AI capabilities
Prepare and process data for AI development
Build and maintain APIs, services, and application components
Evaluate AI models and applications for accuracy, reliability, performance, usability, and requirements alignment
Develop and run tests, resolve defects, and improve quality, security, and maintainability
Collaborate with software engineers, data scientists, product teams, and subject matter experts
Support deployment, monitoring, and ongoing improvement in development, test, and production environments
Monitor performance, quality, drift, and unexpected outputs; investigate and resolve issues
Apply responsible AI, privacy, security, and data governance requirements
Document technical designs, APIs, model behaviour, testing approaches, and operational procedures
Keep current with AI tools, frameworks, and practices and recommend improvements

Requirements

What you’ll need

Experience developing software applications, AI solutions, machine learning systems, or related technology
Proficiency in at least one programming language used for AI development, such as Python, Java, JavaScript, or C#
Understanding of software development principles, data structures, algorithms, testing, and debugging
Familiarity with machine learning concepts and processes used to develop, evaluate, and deploy models
Experience working with data formats, databases, and APIs
Ability to assess technical requirements and translate them into practical, maintainable solutions
Understanding of software testing, version control, and collaborative development practices
Awareness of responsible AI considerations, including privacy, fairness, transparency, and reliability
Preferred: experience with generative AI applications, LLMs, PyTorch, TensorFlow, scikit-learn, prompt engineering, RAG, embeddings, vector databases, cloud platforms, containerisation, CI/CD, MLOps, data protection, information security, AI governance, Agile, and relevant degree, professional training, or certification