AI Full Stack Developer - Java/Spring Boot

We're Hiring: AI Fullstack Developer

About the Role:

We are looking for an AI Java Full Stack Software Engineer to join our fast-paced services team. In this role, you will work on multiple client engagements, building scalable, AI-enabled applications across industries. You will be responsible for end-to-end development - from understanding client requirements to delivering production-ready solutions integrating AI capabilities.

Key Responsibilities:

• Design, develop, and maintain full-stack applications using Java (Spring Boot) and modern frontend frameworks.
• Collaborate directly with clients to gather requirements and translate them into technical solutions.
• Integrate AI/ML capabilities (LLMs, NLP, chatbots, automation workflows) into enterprise applications.
• Build and consume RESTful APIs and microservices.
• Work across multiple projects with varying tech stacks and business domains.
• Ensure code quality through best practices, testing, and code reviews.
• Deploy and manage applications on cloud platforms (AWS / Azure / GCP).
• Troubleshoot production issues and provide timely resolutions.
• Contribute to solution architecture and technical proposals.

Required Skills &

Qualifications :

• 4 - 8 years of experience in full-stack development.
• Strong backend development skills in Java, Spring Boot, Microservices architecture.
• Proficiency in frontend technologies: React / Angular / Vue.js.
• Experience with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Hands-on experience integrating AI services (e.g., LLM APIs, chatbots, document processing).
• Solid understanding of REST APIs, system design, and distributed systems.
• Experience with version control (Git) and CI/CD pipelines.
• Strong debugging, problem-solving, and analytical skills.

Good to Have:

• Experience working 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 with global clients and stakeholders.
• Strong communication and requirement clarification skills.
• Flexibility to work across different time zones when required.
• Ownership of deliverables with a focus on timelines and quality.

What We're Looking For:

• Adaptability to work on diverse projects and technologies.
• Strong learning mindset, especially in evolving AI space.
• Ability to balance speed with quality in delivery.
• Team player with a proactive attitude.