AI Development Specialist

4 days ago

Malappuram, Kerala, India beBeeArtificial Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

We are seeking a seasoned AI Development Specialist to join our team. A key responsibility of this role involves designing and developing sophisticated AI-driven applications, with a focus on integrating Large Language Models (LLMs) into these agents built using Python and FastAPI.

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. Furthermore, as we continue to evolve, this role offers the potential to grow into customizing and deploying LLMs in-house, so adaptability and a strong foundation in ML/LLM principles are essential.

Key Responsibilities
  • AI Agent Development: 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.
  • LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs. Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization).
  • 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 (Docker, Kubernetes).
  • Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.

Required Skills & Qualifications

Technical Skills
  • Demonstrable experience integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google) 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.
  • Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face.
Business Acumen
  • 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.

Preferred Qualifications

  • Experience with frameworks like LangChain or LlamaIndex.
  • Experience with observability and debugging tools for LLM applications.

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