Senior AI Application Developer

1 week ago

Bellary, Karnataka, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We are seeking a seasoned AI specialist to design and develop sophisticated AI-driven applications. This role involves architecting logic for AI agents within our platform, integrating external Large Language Model (LLM) APIs via prompt engineering and Retrieval-Augmented Generation (RAG) techniques.

The ideal candidate will have hands-on experience in applying LLMs, building AI-driven features or agents, and deploying RESTful APIs using FastAPI. Strong Python programming skills, practical knowledge of RAG concepts, vector databases, and cloud platforms are also required.

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 and design effective prompts for diverse retail-specific tasks.
  • RAG Implementation: Implement and optimize 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.
  • Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and future fine-tuning tasks.

Required Skills & Qualifications:

  • 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.
  • 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 and containerization for application deployment.

Benefits:

  • Opportunity to work on cutting-edge AI projects.
  • Chance to collaborate with cross-functional teams.
  • Potential for growth and professional development.

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