Senior AI Engineer – Large Language Models

7 days ago

Guntur, Andhra Pradesh, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Innovation Position

We are seeking a highly skilled AI professional to design and develop sophisticated AI-driven applications. A significant part of this role involves creating intelligent agents within our platform, focusing on integrating external Large Language Model (LLM) APIs via prompt engineering and Retrieval-Augmented Generation (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 we 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 key.

Key Responsibilities:
  • Design and develop the core logic for AI Agents within FastAPI services.
  • Integrate with external LLM provider APIs, designing and implementing effective prompts for diverse retail-specific tasks.
  • Implement and optimize RAG patterns using vector databases to provide relevant context to LLM API calls made by agents.
  • Build and maintain 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, staying updated on LLM advancements and prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts.
Required Skills & 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.
  • 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.
  • Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.
  • Bachelor's or Master's degree in Computer Science, AI, or a related field.
  • 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.
  • Experience optimizing API call performance or model inference.
  • Knowledge of AI security considerations and bias mitigation.

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