Job Title: GenAI Engineer We are seeking a highly skilled engineer to play a key role in advancing our AI-driven platform and client solutions. The ideal candidate has 4+ years of hands-on experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges. - Contribute to building and enhancing our AI platform and AI-enabled products. - Serve as an expert on client projects as needed. - Design systems that incorporate machine learning algorithms. - Research and implement appropriate machine learning techniques and tools. - Select suitable datasets and data representation methods. - Run machine learning tests and experiments. - Perform statistical analysis and fine-tuning using test results. - Train and retrain systems when necessary. - Extend existing machine learning libraries and frameworks. - Stay current with emerging technologies and best practices to continuously improve methodologies and tools. Requirements: - 4+ years of experience in machine learning at a start-up or larger enterprise – high priority. - 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications – high priority. - Client delivery experience – high priority. - Effective written and oral communications skills (C1/C2 - advanced/proficient level English is required) – high priority. - Bachelor's degree in computer science, software engineering or related field. - Experience with cloud environments (e.g., AWS, Azure, GCP). - Experience with machine learning frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn). - Experience developing, deploying, and managing/monitoring models. - Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture. - Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies. - Advanced experience in NLP techniques and applications. - Strong proficiency in Python programming. - Familiarity with prompt engineering approaches and best practices. - Knowledge of data structures, data modeling, and software architecture. - Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues. - Ability to work independently and as part of a collaborative team in a fast-paced environment. Preferred Qualifications: - Experience in any of the following: - Agent development. - Data privacy. - Fine tuning LLMs. - LLM architecture and techniques for performance. - MLOps. - ML evaluation. - Model decay and data drift detection and handling. - Pulumi, Terraform, and/or Cloud SDKs. - PySpark. - Quantization. - Retrieval-augmented generation (RAG) optimization. - Security. - Vector databases.