AI Application Developer

23 hours ago

Gandhinagar, Gujarat, India beBeeArtificial Full time ₹ 8,00,000 - ₹ 15,00,000

We are seeking an experienced AI developer with expertise in applying Large Language Models (LLMs) and building AI-driven applications to join our growing organization.

A significant part of this role involves designing and developing AI agents within our platform with an initial focus on integrating external LLM APIs(e.g., OpenAI, Anthropic, Google) via sophisticated prompt engineering and RAG techniques into these agents, built using Python + FastAPI.

  • Design, develop, test, and maintain the core logic for AI agents within FastAPI services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities.
  • Integrate with external LLM provider APIs. Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization).
  • Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.
  • Build and maintain the scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment (Docker, Kubernetes).
  • Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.
  • 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.

Key Responsibilities:

  • AI Agent Development
  • LLM API Integration & Prompt Engineering
  • RAG Implementation
  • FastAPI Microservice Development
  • Data Processing for AI
  • Collaboration & Future Adaptation

The ideal candidate has 4-6 years of hands-on experience in software development with a strong focus on AI/ML application development.

Preferred Qualifications:

  • Experience with frameworks like LangChain or LlamaIndex
  • Observability and debugging tools for LLM applications
  • Graph databases
  • MLOps practices
  • Optimizing API call performance

Our organization is looking for a highly skilled AI developer who can adapt to new technologies and work effectively in an agile environment.

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