Job Description

Job Title: Lead Java Full Stack Developer (GenAI-Enabled SDLC)

Location: Remote - Travel is required

Role Overview

We are seeking a highly skilled AI Lead Developer to design, develop, and lead innovative AI-driven solutions. The ideal candidate will have strong expertise in Python, Java, Spring Boot, and React , along with hands-on experience delivering at least one end-to-end AI/ML project in production . You will play a key role in architecting intelligent applications, mentoring teams, and driving best practices in AI engineering.

Key Responsibilities

AI & Machine Learning

• Design and implement scalable AI/ML solutions (NLP, Computer Vision, or Predictive Analytics).
• Lead at least one end-to-end AI project lifecycle (data ingestion, model training, deployment, and monitoring).
• Integrate AI models into enterprise applications using REST APIs and microservices.
• Evaluate and adopt modern AI frameworks (TensorFlow, PyTorch, OpenAI APIs, etc.).

Backend Development

• Develop and maintain microservices using Java and Spring Boot .
• Build secure, scalable APIs for AI model consumption.
• Optimize application performance and ensure high availability.

Frontend Development

• Build intuitive and responsive UI using React.js .
• Integrate frontend applications with backend AI services.
• Ensure seamless user experience for AI-powered features.

Required Skills & Qualifications

Technical Skills

• Strong programming expertise in Python and Java .
• Solid experience with Spring Boot and microservices architecture .
• Frontend development experience with React.js .
• Hands-on experience with AI/ML frameworks such as:
  • TensorFlow / PyTorch / Scikit-learn
  • NLP libraries (spaCy, Hugging Face, etc.)
• Experience in RESTful API development and cloud integration (AWS/Azure/GCP).
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.

AI Experience (Mandatory)

• Proven experience in delivering at least one AI-based project in production , such as:
  • Chatbot / Conversational AI
  • Recommendation system
  • Fraud detection model
  • Image or speech recognition system

Preferred Qualifications

• Experience with LLMs (Large Language Models) and Generative AI.
• Knowledge of vector databases (Pinecone, FAISS, etc.).
• Understanding of MLOps practices and tools.
• Experience in Agile/Scrum methodologies.

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