Senior AI Model Developer

1 week ago

Dombivli, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

We are seeking a seasoned AI expert to develop and implement large language models (LLMs) in our e-commerce and retail data orchestration pipelines.

You will be responsible for architecting the logic for these models, enabling them to perform complex tasks within our platforms. This includes designing and developing AI-driven applications, integrating external LLM APIs, and optimizing their performance.

Key Responsibilities

  • AI Model Development: Design, develop, test, and maintain the core logic for AI models within our services. Orchestrate model 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.
  • Model Microservice Development: Build and maintain the scalable microservices that host AI model 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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