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 developmentfrom 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
- 36 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
