Strategic AI Application Developer

4 days ago

Kottayam, Kerala, India beBeeArtificial Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
AI Developer Role

Our team is seeking a skilled AI developer to join our growing organization. The ideal candidate will have experience applying Large Language Models (LLMs) and building AI-driven applications.

  • Job Description:

  • 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.

  • 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.

Required Skills & Qualifications
  • Key Responsibilities:

  • 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.

  • Experience optimizing API call performance or model inference.

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