Senior Java Developer – AI

Job not on LinkedIn

🕒 April 1

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Logo of TASQ Staffing Solutions

TASQ Staffing Solutions

11 - 50 employees

🤝 B2B

🎯 Recruiter

👥 HR Tech

B2B • Recruitment • HR Tech

TASQ Staffing Solutions is a staffing solutions provider founded by experts with over 70 years of collective experience in the industry. They specialize in talent acquisition, offering services that include executive hiring, mid-level role placement, entry-level recruitment, and technical recruitment. TASQ is committed to helping companies fill their manpower needs effectively across all levels and industries, ensuring they can attract the best talent to remain competitive in a global economy.

📋 Description

• Design, develop, and maintain scalable and high-performance Java applications. • Build and enhance microservices architectures using Spring Boot and related frameworks. • Integrate AI/ML and Generative AI capabilities (e.g., OpenAI, Azure AI services, LLM APIs) into applications. • Develop intelligent features such as chatbots, recommendation engines, or automation workflows. • Deploy and manage applications within Azure Cloud environments. • Provide technical guidance, mentorship, and support to junior developers or small teams. • Participate in code reviews and enforce best practices in coding, security, and performance. • Collaborate with cross-functional teams (Product, QA, DevOps) to deliver end-to-end solutions. • Troubleshoot, debug, and optimize applications and AI integrations. • Contribute to CI/CD pipelines and DevOps processes. • Stay updated on emerging trends in AI, cloud computing, and backend engineering.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related field. • 5+ years of experience in Java development. • Hands on experience with Java Technologies (Spring Boot, and Microservices architecture). • Has experience in Cloud technologies - Microsoft Azure (e.g., App Services, Azure Functions, AKS, Azure DevOps). • AI/ML Integrations and Capabilities (e.g., OpenAI, Azure AI services, LLM APIs, chatbots, summarization, RAG pipelines). • Proven experience mentoring or managing a small team or leading modules/projects.

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