Artificial Intelligence Engineer

Role & responsibilities

Develop and deploy LLM-powered applications using OpenAI and similar frameworks.

Design and implement RAG pipelines to integrate domain-specific knowledge with generative AI.

Optimize model performance, prompt engineering, and fine-tuning for enterprise use cases.

Collaborate with data engineers and product teams to integrate AI solutions into business workflows.

Ensure compliance with security, scalability, and governance standards.

Required Skills & Experience:

Strong background in LLMs (OpenAI, Hugging Face, LangChain, etc.).

Hands-on experience with RAG architectures (vector databases, embeddings, retrieval frameworks).

Proficiency in Python and experience with cloud AI platforms (Azure, AWS, GCP).

Familiarity with MLOps practices and API-based deployment.

Strong problem-solving and collaboration skills.

Preferred candidate profile

We are seeking an AI Engineer with strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) solutions, and hands-on experience with OpenAI models. The ideal candidate will design, build, and optimize AI-driven applications, ensuring scalability, accuracy, and seamless integration with enterprise data systems.