AI Application Developer

23 hours ago

Kolkata, West Bengal, India beBeeDeveloper Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

We are seeking a skilled AI Application Developer to join our growing team. This role involves designing and developing AI-driven applications using Large Language Models (LLMs) and sophisticated prompt engineering techniques.

  • This developer will be responsible for architecting the logic for AI agents, enabling them to perform complex tasks within our data orchestration pipelines.

You will design, develop, test, and maintain the core logic for AI agents, integrate LLM capabilities, and implement effective prompts for diverse retail-specific tasks.

  • Key Responsibilities:
  • AI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within services.
  • LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs, design, implement, and rigorously test effective prompts for diverse retail-specific tasks.
  • RAG Implementation: Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.
  • Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.
  • Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features, stay updated on LLM advancements, and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts.

Requirements

  • 4–6 years of hands-on experience in software development with a strong focus on AI/ML application development.
  • Demonstrable experience integrating and utilizing external LLM APIs in applications.
  • Proven experience with Prompt Engineering techniques.
  • Strong Python programming skills.
  • Practical experience building and deploying RESTful APIs using FastAPI.
  • Experience designing and implementing application logic for AI-driven features or agents.
  • Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).
  • Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment.
  • Solid problem-solving skills and clear communication abilities.
  • Experience working effectively in an agile environment.
  • Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.
  • Bachelor's or Master's degree in Computer Science, AI, or a related field.
  • Ability to work independently and collaborate effectively in a remote setting.

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