
AI/ML Developer
16 hours ago
We are seeking a skilled professional to join our team as an AI/ML Developer. The ideal candidate will have experience in applying Large Language Models (LLMs) and building AI-driven applications.
The successful candidate will design and develop AI Agents within our platform, with an initial focus on integrating external LLM APIs via sophisticated prompt engineering and RAG techniques into these agents, built using Python + FastAPI.
You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines.
Key Responsibilities- AI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within FastAPI services.
- 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.
- Cross-Functional Collaboration: Work with cross-functional teams to deliver AI features and stay updated on LLM advancements.
- AI/ML Application Development Experience: 4–6 years of hands-on experience in software development with a strong focus on AI/ML application development.
- LLM API Integration Experience: Demonstrable experience integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google) in applications.
- Prompt Engineering Techniques: Proven experience with Prompt Engineering techniques.
- Python Programming Skills: Strong Python programming skills.
- RESTful API Development Experience: Practical experience building and deploying RESTful APIs using FastAPI.
- AI-Driven Feature Development: Experience designing and implementing application logic for AI-driven features or agents.
- RAG Concepts Understanding: Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).
- MLOps Understanding: Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face.
- Cloud Platform Experience: Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment.
- Problem-Solving Skills: Solid problem-solving skills and clear communication abilities.
- Agile Environment Experience: Experience working effectively in an agile environment.
This role offers opportunities for growth and professional development, as well as collaboration with experienced professionals in the field.
OthersApplicants should have a 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 is essential.
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