Job Title: Principal AI Engineer
Workplace Type: 100% Remote
Duration: 6-12 Months
Top Skills Details
• Experience architecting multi‑agent systems capable of planning, tool use, and coordinated execution across complex workflows.
• Experience designing and optimizing RAG pipelines, including hybrid retrieval, reranking, and context‑window strategies.
• Fine‑tuning and evaluation of language models experience of varying sizes for domain‑specific reasoning and summarization.
• Must have developed prompt engineering frameworks, guardrails, and automated evaluation suites for agent reliability.
• Senior in building scalable ML services and APIs for production deployment in distributed environments.
Job Description:
Seeking highly skilled AI Engineers with expertise in Multi-Agent Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.
Key Responsibilities:
• Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).
• Strong prompt engineering and prompt testing skills to derive the desired outcome
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Optimize and fine-tune RAG models for performance and scalability cost saving.
• Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
• Write clean, efficient, and maintainable code in Python.
• Perform data preprocessing, feature engineering, and model evaluation.
• Troubleshoot and debug AI models and applications in a mono-repo settings.
• Document AI models, processes, and workflows.
Qualifications:
• Proven experience as an AI Engineer or similar role.
• Strong proficiency in Python programming.
• In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
• Proven experience in prompt engineering
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Proficiency in data preprocessing and feature engineering techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
Preferred Skills:
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of natural language processing (NLP) techniques.
• Familiarity with version control systems (e.g., Git).
• Experience with deploying AI models in production environments.\
Never miss an opportunity! Create an alert based on the job you applied for.
