Developing Cutting-Edge AI Applications

7 days ago

Shimoga, Karnataka, India beBeeArtificialIntelligence Full time US$ 1,50,000 - US$ 1,80,000
AI Engineer Position

We are seeking an experienced AI developer to join our team. The ideal candidate will have a strong background in applying Large Language Models (LLMs) and building AI-driven applications.

The role involves designing and developing AI Agents within our platform, with an initial focus on integrating external LLM APIs via sophisticated prompt engineering and RAG techniques.

You will be responsible for architecting the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines.

This is an excellent opportunity to grow into customizing and deploying LLMs in-house, requiring adaptability and a strong foundation in ML/LLM principles.

Key Responsibilities
  • AI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within FastAPI 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.
  • FastAPI Microservice Development: Build and maintain scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components.
Required Skills & Qualifications
  • A minimum of 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.
  • 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.
  • Familiarity with cloud platforms and containerization for application deployment.
Benefits
  • Opportunity to work on cutting-edge AI projects.
  • Chance to grow into customizing and deploying LLMs in-house.
  • Collaborative and dynamic work environment.

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