Innovative AI Application Developer

1 day ago

Chennai, Tamil Nadu, India beBeeArtificialIntelligenceEngineer Full time ₹ 30,00,000 - ₹ 40,00,000

Unlock the potential of Artificial Intelligence and shape the future of applications with us. As an AI Engineer, you will play a pivotal role in designing and developing innovative AI-driven solutions that integrate Large Language Models (LLMs) and enhance our e-commerce and retail data orchestration pipelines.

Key Responsibilities

  • Develop the core logic for AI Agents within FastAPI services, orchestrating tasks, managing state, interacting with platform data/workflows, and integrating LLM capabilities.
  • Implement effective prompts for diverse retail-specific tasks through integration with external LLM provider APIs.
  • Design and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.
  • Build and maintain scalable FastAPI microservices hosting AI Agent logic and handling interactions with LLMs and other platform components in a containerized environment.
  • Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially fine-tuning tasks.
  • Collaborate with cross-functional teams to deliver AI features and stay updated on LLM advancements.

Required Skills & Qualifications

  • 4-6 years of experience in software development with a strong focus on AI/ML application development.
  • 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.
  • Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).
  • Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face.
  • 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.
  • Bachelor's or Master's degree in Computer Science, AI, or a related field.

Preferred Qualifications

  • Experience with frameworks like LangChain or LlamaIndex.
  • Experience with observability and debugging tools for LLM applications.
  • Experience with graph databases and query languages.
  • Experience optimizing API call performance or model inference.

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