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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 methodolog
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
Why join Divami
At Divami, we are redefining the boundaries of design, AI, and engineering to build intelligent, scalable products that drive real-world impact. As an AI Full Stack Developer, you will play a key role in building end-to-end, AI-powered applications—blending modern frontend experiences with robust backend systems and intelligent automation.
You will work across the full stack, from crafting seamless user interfaces to developing scalable APIs and integrating AI/ML capabilities that enhance product intelligence. At Divami, you will collaborate with cross-functional teams to turn complex ideas into impactful digital solutions.
If you are a passionate developer with a strong foundation in full stack technologies and a curiosity to explore AI-driven innovation, we invite you to join us in shaping the future of intelligent products.
Let's engineer tomorrow, together
Job ID: 151280579
Skills:
Rest Api, Java J2ee, Micro Services, Spring Boot, Spring Cloud, Reactive Programming, Spring Webflux
Skills:
Java, Git, Maven, Spring Boot, Rest Apis, Spring Framework, AWS
Skills:
Performance Tuning, Kafka, Spring Boot, API design, Microservices, Java 8, Docker, Terraform, Spring Security, automation, Query Optimization, Tls, Hibernate, Jsp, SSL, Sql, Mvc, Jpa, Helm, Kubernetes, Struts, Spring Framework, X-Work, Relational Databases, service orchestration, REST API design, CI CD pipelines
Skills:
Java, Hibernate, Spring Boot, Sql, Microservices, Nosql, Gcp, Docker, Restful Apis, Jpa, Kubernetes, AWS
Skills:
Java, S3, RDS, PostgreSQL, Dynamodb, Spring Boot, Kotlin, Sql, Nosql, Lambda, Cloudwatch, Ec2, Mockito, JUnit, MySQL, ECS, Azure DevOps, AWS, Fargate