Senior GenAI Engineer
We are seeking a highly skilled and experienced AI/ML Engineer with a minimum of 1-2+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, and LLMs. The ideal candidate should have an understanding of AI technologies and experience in designing and implementing cutting‑edge AI models and systems.
Qualifications
* 1-2+ years of experience in Data Science and Artificial Intelligence, with hands‑on experience in Generative AI (GenAI).
* Knowledge of prompt engineering, fine‑tuning models, RAGs, and experience with Agentic AI approaches.
* Proven experience with at least one framework such as LangChain, LangGraph, AutoGen, Semantic Kernel, vector databases or equivalent for building AI applications.
* Advanced skills in Python, following best software engineering practices including Git, CI/CD pipelines, and version control.
* Experience building APIs using Flask, FastAPI, or similar frameworks.
* Solid understanding of Natural Language Processing (NLP) techniques, including tokenization, embeddings, and string similarity.
* Hands‑on experience with Azure, AWS, or other cloud environments for AI deployment.
* Strong interpersonal skills with the ability to collaborate effectively across cross‑functional teams.
* Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related technical field.
Desired Additional Qualifications
* Knowledge of AI ethics, fairness, transparency, and accountability in AI systems.
* Hands‑on experience with Docker, Kubernetes, and other tools for deploying scalable AI models.
* Experience implementing monitoring, logging, and performance tracking to ensure AI model reliability.
* Ability to translate complex business requirements into practical AI solutions.
What We Offer
* Empowering career development: tailored training and development programs.
* Flexible work‑life integration: hybrid work model.
* Comprehensive well‑being programs: wellness initiatives, psychological support, health resources.
* Meaningful volunteering opportunities: community engagement programs.
* Recognized performance and rewards: recognition programs for achievements.
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