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

• 3–6 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