GenAI Engineer

Senior GenAI Engineer

The opportunity

We are seeking a highly skilled and experienced AI/ML Engineer with a minimum of 3+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs. The ideal candidate should have an understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems.

To qualify for the role, you must have

Experience: 3+ years in Data Science and Artificial Intelligence, with hands-on experience in Generative AI (GenAI).

Generative AI Expertise: Strong knowledge of prompt engineering, fine-tuning models, RAGs and experience with Agentic AI approaches.

Frameworks & Tools: Proficiency with at least one framework such as LangChain, LangGraph, AutoGen, Semantic Kernel, vector databases or equivalent for building AI applications.

Programming & Engineering: Advanced skills in Python, following best software engineering practices including Git, CI/CD pipelines, and version control.

API Development: Experience building APIs using Flask, FastAPI, or similar frameworks. NLP Skills: Solid understanding of Natural Language Processing (NLP) techniques, including tokenization, embeddings, and string similarity.

Cloud Platforms: Hands-on experience with Azure, AWS, or other cloud environments for AI deployment.

Collaboration & Communication: Strong interpersonal skills with the ability to collaborate effectively across cross-functional teams.

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related technical field.

Ideally, you’ll also have

Trusted AI Practices: Knowledge of AI ethics, fairness, transparency, and accountability in AI systems. Deployment & Scalability: Hands-on experience with Docker, Kubernetes, and other tools for deploying scalable AI models.

Monitoring & Reliability: Experience implementing monitoring, logging, and performance tracking to ensure AI model reliability.