AI Development Specialist

3 days ago

Bhavnagar, Gujarat, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Artificial Intelligence Developer Opportunity

We are seeking an experienced AI developer to join our team. A significant part of this role involves designing and developing AI agents within our platform with an initial focus on integrating external large language model APIs via sophisticated prompt engineering and RAG techniques.

You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Furthermore, as Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying large language models in-house.

Key Responsibilities:
  • Design, develop, test, and maintain the core logic for AI agents within FastAPI services.
  • Integrate with external LLM provider APIs, design, implement, and rigorously test effective prompts for diverse retail-specific tasks.
  • 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.
  • Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.
  • Collaborate with cross-functional teams to deliver AI features and stay updated on large language model advancements.
Requirements:
  • 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.
  • Solid problem-solving skills and clear communication abilities.
  • Experience working effectively in an agile environment.
  • Ability to work independently and collaborate effectively in a remote setting.
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 with MLOps practices applicable to both current application monitoring and future model lifecycle management.
  • Knowledge of AI security considerations and bias mitigation.

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