AI Full Stack SE

Join divami's fast-paced services team as an AI Java Full Stack Software Engineer in Hyderabad, Telangana, India. This role involves contributing to multiple client engagements, developing scalable, AI-enabled applications across various industries. You will own the end-to-end development lifecycle, from requirement gathering to delivering production-ready solutions with integrated AI capabilities.

Key Responsibilities:

• Design, develop, and maintain full-stack applications using Java (Spring Boot) and modern frontend frameworks (React, Angular, Vue.js).
• Collaborate directly with clients to understand requirements and translate them into robust technical solutions.
• Integrate AI/ML capabilities such as LLMs, NLP, chatbots, and automation workflows into enterprise applications.
• Build and consume RESTful APIs and microservices.
• Manage multiple projects with diverse tech stacks and business domains.
• Ensure high code quality through best practices, comprehensive testing, and code reviews.
• Deploy and manage applications on cloud platforms including AWS, Azure, and GCP.
• Troubleshoot and resolve production issues efficiently.
• Contribute to solution architecture and technical proposal development.

Required Skills & Qualifications:

• 3–6 years of experience in full-stack development.
• Strong backend development skills in Java, Spring Boot, and Microservices architecture.
• Proficiency in frontend technologies: React, Angular, or Vue.js.
• Experience with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Hands-on experience integrating AI services like LLM APIs, chatbots, and document processing.
• Solid understanding of REST APIs, system design, and distributed systems.
• Proficiency in version control (Git) and CI/CD pipelines.
• Excellent debugging, problem-solving, and analytical skills.

Good to Have:

• Experience in a services/consulting environment.
• Exposure to Generative AI, prompt engineering, or RAG-based applications.
• Familiarity with vector databases (FAISS, Pinecone, Weaviate).
• Experience with Docker, Kubernetes, and containerized deployments.
• Knowledge of Agile/Scrum methodologies.

Client & Delivery Expectations:

• Ability to interact effectively with global clients and stakeholders.
• Strong communication and requirement clarification skills are essential.
• Flexibility to work across different time zones as needed.
• Take ownership of deliverables, focusing on timelines and quality.

What We’re Looking For:

• Adaptability to work on diverse projects and technologies.
• A strong learning mindset, particularly in the evolving AI space.
• Ability to balance speed and quality in delivery.
• A proactive and collaborative team player.