Lead Java Full Stack Developer (GenAI-Enabled SDLC) – Remote – Travel is required – Lorven Applied sciences, Inc. – Remote

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

Location: Remote – Travel is required

Role Overview

We are searching for a extremely expert AI Lead Developer to design, develop, and lead progressive AI-driven options. The very best candidate can have sturdy experience in Python, Java, Spring Boot, and React, together with hands-on expertise delivering at the least one end-to-end AI/ML venture in manufacturing. You will play a key function in architecting clever functions, mentoring groups, and driving greatest practices in AI engineering.

Key Responsibilities

AI & Machine Learning

• Design and implement scalable AI/ML options (NLP, Computer Vision, or Predictive Analytics).
• Lead at the least one end-to-end AI venture lifecycle (knowledge ingestion, mannequin coaching, deployment, and monitoring).
• Integrate AI fashions into enterprise functions utilizing REST APIs and microservices.
• Evaluate and undertake trendy AI frameworks (TensorFlow, PyTorch, OpenAI APIs, and so forth.).

Backend Development

• Develop and keep microservices utilizing Java and Spring Boot.
• Build safe, scalable APIs for AI mannequin consumption.
• Optimize software efficiency and guarantee excessive availability.

Frontend Development

• Build intuitive and responsive UI utilizing React.js.
• Integrate frontend functions with backend AI companies.
• Ensure seamless person expertise for AI-powered options.

Required Skills & Qualifications

Technical Skills

• Strong programming experience in Python and Java.
• Solid expertise with Spring Boot and microservices structure.
• Frontend growth expertise with React.js.
• Hands-on expertise with AI/ML frameworks corresponding to:

  • TensorFlow / PyTorch / Scikit-learn
  • NLP libraries (spaCy, Hugging Face, and so forth.)

• Experience in RESTful API growth and cloud integration (AWS/Azure/Google Cloud Platform).
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.

AI Experience (Mandatory)

• Proven expertise in delivering at the least one AI-based venture in manufacturing, corresponding to:

  • Chatbot / Conversational AI
  • Recommendation system
  • Fraud detection mannequin
  • Image or speech recognition system

Preferred Qualifications

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