We are seeking a highly skilled Full Stack Developer with strong expertise in Java and Python to join our engineering team. The ideal candidate will have a solid understanding of both backend and frontend development, with additional interest or experience in AI tools, LLM integration, and AI-driven applications.

Job Responsibilities:

• Design, develop, and maintain scalable full-stack applications using Java, Python, and modern frontend technologies.
• Build RESTful APIs, microservices, and backend logic with high performance and security.
• Develop clean, responsive user interfaces using React, Angular, or similar frameworks.
• Collaborate with cross-functional teams (Product, Data, DevOps, AI/ML) to deliver end-to-end solutions.
• Integrate and work with AI/ML tools, including LLMs, vector databases, model APIs, and AI frameworks.
• Optimize system performance, handle debugging, and ensure high-quality code through testing and reviews.
• Participate in architectural planning, design discussions, and code review processes.
• Maintain documentation, follow best practices, and contribute to continuous improvement of development workflows.

Required Skills & Qualifications:

• Strong proficiency in Java (Spring Boot, JPA, Hibernate, etc.).
• Strong experience with Python (FastAPI, Flask, Django, or similar).
• Frontend development experience with React, Angular, or Vue.
• RESTful API development and microservices architecture experience.
• Strong experience in unit and automation test cases
• Proficiency in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
• Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).
• Understanding of cloud platforms (AWS, Azure, GCP).

Preferred / Bonus Skills (AI-Focused):

• Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn.
• Hands-on experience integrating LLM APIs (OpenAI, Anthropic, local LLMs, HuggingFace, etc.).
• Familiarity with vector databases (Pinecone, FAISS, ChromaDB).
• Background in building AI-powered applications, chatbots, agents, or data pipelines.
• Knowledge of prompt engineering, model fine-tuning, or RAG systems.
• Knowledge of containerization tools such as Docker and orchestration using Kubernetes.

Soft Skills:

• Strong problem-solving and analytical thinking.
• Excellent communication and teamwork abilities.
• Ability to work independently and in agile teams.

Education:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).