Senior AI Developer

10 hours ago

Mount Abu, Rajasthan, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a seasoned AI developer skilled in applying Large Language Models (LLMs) to design and develop cutting-edge AI-driven applications.

This role involves architecting the logic for AI agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. As we evolve, this position offers opportunities to grow into customizing and deploying LLMs in-house, requiring adaptability and a strong foundation in ML/LLM principles.

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 the 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.
  • Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be 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 (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 (important for understanding models and future adaptation).
  • 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.
  • 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, such as LangSmith.
  • Experience with graph databases (e.g., Neo4j) and query languages (e.g., Cypher).
  • Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management.
  • Experience optimizing API call performance (latency/cost) or model inference.
  • Knowledge of AI security considerations and bias mitigation.

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