AI/ML Engineer Generative Systems About the Role We are building AI-powered systems that can automatically generate high-quality, structured content for a wide variety of applications. As a Mid-Level AI/ML Engineer, you will design, implement, and optimize AI models that produce consistent, reliable, and context-aware outputs at scale. You will collaborate with backend engineers, product designers, and domain experts to ensure AI-generated outputs align with functional requirements, user experience goals, and product quality standards. Responsibilities Develop and integrate AI models (e.g., GPT, fine-tuned LLMs) to produce structured and unstructured content. Design and implement prompt engineering strategies to maintain consistency and relevance. Build validation pipelines to ensure outputs meet defined schemas, formats, or constraints. Collaborate with data engineers to prepare, clean, and structure datasets for training and evaluation. Monitor, benchmark, and optimize model performance for accuracy, scalability, and reliability. Work with product teams to align AI outputs with user needs and market requirements. Contribute to automation of AI testing, monitoring, and deployment workflows (MLOps). Requirements 3+ years of experience in Machine Learning or Applied AI roles. Strong proficiency in Python and popular ML/AI frameworks (PyTorch, TensorFlow, Hugging Face). Experience with LLM APIs (OpenAI, Anthropic, etc.) or fine-tuning large language models. Familiarity with prompt engineering and structured data generation techniques. Solid understanding of data preprocessing, feature engineering, and model evaluation. Experience with REST APIs and integrating AI systems into production environments. Knowledge of cloud platforms (AWS, GCP, Azure) for deploying ML workloads. Strong problem-solving mindset with attention to detail. Nice to Have Experience with MLOps tools (MLflow, Kubeflow, Vertex AI). Knowledge of data validation frameworks and automated testing for AI outputs. Background in human-in-the-loop systems for AI quality improvement. Familiarity with vector databases (Pinecone, Weaviate, Milvus) for AI-assisted search/retrieval. What We Offer Opportunity to shape next-generation AI-powered products. Collaborative and innovative work environment. Flexible work arrangements and competitive compensation. A chance to build technology that empowers creativity, efficiency, and scale.

Keyskills: Artificial Intelligence Machine Learning Tensorflow Pytorch Aiml Ai Platform Ml
Founded in 2010 in the United Kingdom, RedoQ began as a bootstrapped IT services company. Today, we are a trusted global partner in digital transformation. Over the years, we have diversified into sectors such as FinTech, Pharmaceutical Manufacturing, Food & Beverage, and Branding & Digital...