Artificial Intelligence Engineer

We are seeking an experienced AI Developer (4–6 years) skilled in applying Large Language Models (LLMs) and building AI-driven applications to join our growing team. A significant part of this role involves designing and developing AI Agents within our platform with an initial focus on integrating external LLM APIs(e.g., OpenAI, Anthropic, Google) 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. Furthermore, as Ekyam.ai evolves, 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

• 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

Preferred Qualifications