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.