Chief AI/ML Innovation Officer

2 weeks ago

Jaipur, Rajasthan, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Overview

As a skilled AI/ML Developer, you will be responsible for designing and developing the core logic for AI Agents within FastAPI services. Your tasks will include orchestrating agent tasks, managing state, interacting with platform data/workflows, and integrating Large Language Model (LLM) capabilities.

Key Responsibilities:
  • AI Agent Development: Develop, test, and maintain the core logic for AI Agents within FastAPI services.
  • LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs and design 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.
  • FastAPI Microservice Development: Build and maintain scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment.
  • Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.
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.
  • 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.
  • 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.
Preferred Qualifications:
  • Experience with frameworks like LangChain or LlamaIndex.
  • Experience with observability and debugging tools for LLM applications.
  • Experience with graph databases and query languages.
  • Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management.
  • Experience optimizing API call performance or model inference.
  • Knowledge of AI security considerations and bias mitigation.
Benefits:

You will have the opportunity to work on cutting-edge AI/ML projects and contribute to the development of innovative solutions.

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