About Apertera Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context. For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators. Apertera is Canadian-owned, ISO 17100 and SOC 2 certified. Our core values: Innovation Dedication Fanatical commitment to quality and service Resourcefulness Collaboration About the Role We are looking for a Senior Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation with the objective to develop and implement state-of-the-art algorithms by fast prototyping. We expect our Senior Generative AI Engineer to stay current with the technological cutting edge and drive the application of LLM and GenAI to translation, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions. Responsibilities Research and implement state-of-the-art LLM techniques including continued pre-training, supervised fine-tuning, reinforcement learning from human or AI feedback (PPO, DPO, GRPO, etc.), and LLM deployment. Work closely with our expert advisor to strategize, plan, and design technical roadmaps and features of GenAI products. Develop prototypes of GenAI and LLM application to translation use cases. Drive technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia. Stay updated with the latest advancements and research trends in generative AI, attending conferences, workshops, and seminars, and actively contributing to the AI research community through publications and presentations Work closely with DevOps Engineers, software engineers, designers, and product managers to understand project requirements, align on technical solutions, and deliver high-quality generative AI solutions that meet business objectives and user needs. Communicate technical strategies effectively across teams and manage stakeholder expectations. Requirements Master in Computer Science, Data Science, Statistics, or Engineering. PhD or equivalent experience is preferred. 3+ years of industry experience developing GenAI and LLM applications. Working knowledge and project-based record of all of the following: context engineering, RAG, SFT. Working knowledge and project-based record of at least one of the following: continued pre-training, PPO/DPO/GRPO, Agentic systems (including harness engineering, MCP server, etc.). Proficiency in programming languages such as Python, with experience in software development and version control systems (e.g., Git). Hands-on experience with Huggingface APIs or Amazon Bedrock. Experience with both is preferred. Expert skills of PyTorch, TensorFlow, Pandas, etc. Experience with cloud platforms like AWS, GCP, or Azure Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment. Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams. Self-driven, self-motivated with excellent time management skills Excellent organizational, communication, and interpersonal skills Ability to adapt to shifting priorities without compromising deadlines and momentum.