AI Engineer

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JWay Group, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1994

☁️ SaaS

👥 HR Tech

Digital Marketing • SaaS • HR Tech

JWay Group, Inc. is a technology and digital solutions company that specializes in a wide range of services, including digital web design and development, UI/UX design, digital marketing, enterprise applications development, and mobile app development using Flutter. With over 28 years of experience, JWay is known for its fast-track hiring services and extensive talent network, offering bespoke IT solutions to clients from startups to established enterprises. The company emphasizes collaboration and innovation to help clients achieve their business goals while also providing staffing solutions and HR services.

📋 Description

• Design, develop, and deploy machine learning models for production environments • Build AI-powered applications using modern software engineering best practices • Develop and optimize NLP, computer vision, predictive analytics, or Generative AI solutions • Continuously evaluate and improve model performance, scalability, and reliability • Utilize Claude Code, Codex, Anti-gravity, Zed, and other AI engineering tools to improve software development productivity • Leverage AI-assisted coding, debugging, testing, documentation, and code review workflows • Evaluate emerging AI development tools and recommend best practices for engineering teams • Build reusable AI development workflows that improve engineering efficiency • Build AI agents and intelligent automation workflows to streamline engineering and business processes • Integrate AI models into production systems using APIs and cloud platforms • Design scalable workflows that combine AI services, automation platforms, and enterprise applications • Collaborate with software engineers to embed AI capabilities into existing products • Develop AI solutions that follow secure coding, privacy, and responsible AI principles • Protect sensitive data throughout the AI development lifecycle • Identify security risks associated with AI implementations and recommend mitigation strategies • Follow best practices for secure deployment and governance of AI systems

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field • 3–5 years of experience in AI, Machine Learning, or Data Science • Proven experience developing and deploying machine learning models into production • Experience building end-to-end AI applications from concept through deployment • Strong experience collaborating with cross-functional engineering teams • Strong knowledge of Machine Learning, Deep Learning, NLP, Generative AI, and statistical modeling • Proficiency in Python or R • Experience with TensorFlow, PyTorch, scikit-learn, or similar machine learning frameworks • Experience using Claude Code, Codex, Anti-gravity, Zed, or comparable AI-assisted software development tools • Familiarity with AI-powered code generation, debugging, refactoring, and documentation workflows • Experience integrating AI coding assistants into modern software development practices • Experience building AI agents and workflow automation solutions • Knowledge of API integrations, cloud AI services, and orchestration frameworks • Experience deploying AI applications on AWS, Azure, or Google Cloud • Understanding of secure software development, data privacy, and AI governance (Nice to Have)

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities