Artificial Intelligence Software Development Specialist

4 days ago

Belgaum, Karnataka, India beBeeArtificialIntelligence Full time ₹ 18,00,000 - ₹ 25,00,000
AI Software Development Engineer

We are seeking an experienced AI software development engineer skilled in applying large language models and building AI-driven applications. A significant part of this 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 into these agents, built using Python + FastAPI.

Key responsibilities include:

  • Designing, developing, testing, and maintaining the core logic for AI agents within FastAPI services.
  • Integrating with external LLM provider APIs and designing effective prompts for diverse retail-specific tasks.
  • Implementing and optimizing RAG patterns using vector databases to provide relevant context to LLM API calls made by agents.
  • Building and maintaining scalable FastAPI microservices that host AI agent logic and handle interactions with LLMs and other platform components in a containerized environment.
  • Preparing and preprocessing data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.

Required skills and 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 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 and containerization for application deployment.
  • Ability to work independently and collaborate effectively in a remote setting.

Preferred qualifications include experience with frameworks like LangChain or LlamaIndex, observability and debugging tools for LLM applications, graph databases, and MLOps practices.

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