AI Engineer

Job summary

Responsibilities

To be considered for this position, please ensure that your application includes:

• Design, build & deploy end-to-end-prototypes, MVPs, and scalable components for Online Services & partners using Generative AI and Agentic AI technologies (prompting, guardrails…
• Collaborate closely with cross-functional teams, including domain experts, data scientists, software developers, and cloud experts to ensure seamless integration and successful…
• Collect, preprocess, clean and analyze large datasets for training, finetuning and evaluation purposes.
• Conduct rigorous testing and evaluation of LLM driven applications to measure their performance and user satisfaction, making data-driven improvements (LLM as a judge, LLM…
• Analyze data & give insights to inform stakeholders regarding solution performance and propose improvement actions and finetuning.

What they're looking for

• Deep understanding of data structures, algorithms, and software engineering principles, as applied to Python & JavaScript
• Deep understanding of machine learning fundamentals, including deep learning concepts and popular ML libraries (TensorFlow, PyTorch)
• Familiarity with Gen AI & Agentic AI techniques such as RAG, function calling, and agentic workflows
• Knowledge of DevOps /LLMOps tools and practices (model serving, versioning, CI/CD)
• Knowledge of RESTful APIs, backend technologies and database (FastAPI, Postgres, MongoDB)

Tech stack

• RAG
• Python
• TensorFlow
• PyTorch
• FastAPI
• PostgreSQL
• AWS
• Azure