Generative AI Software Engineer at Apertera

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

0.0

Posted On

07 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Large Language Models, Python, PyTorch, TensorFlow, Natural Language Processing, Prompt Engineering, RAG, In-Context Learning, Huggingface APIs, Amazon Bedrock, AWS, GCP, Azure, GPU Programming, Deep Learning

Industry

Translation and Localization

Description

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 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 report to the team lead on GenAI, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data. Responsibilities Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and GenAI more broadly. Work closely with machine learning engineers and data scientists to design, build, and test models. Contribute to technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia. Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms. Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization. Work closely with software and DevOps engineers to deploy GenAI models. Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contribute to internal knowledge sharing and continuous improvement initiatives. Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 2+ years of industry experience developing GenAI and LLM applications is preferred. 3+ years industry Software Development experience. Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems. Working knowledge and project-based record of all of the following: prompt tuning, RAG, ICL. Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent. Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment. Hands-on experience with Huggingface APIs or Amazon Bedrock. Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc. Experience with cloud platforms like AWS, GCP, or Azure Self-driven, self-motivated with excellent time management skills Excellent communication skills, with the ability to convey complex technical concepts clearly and effectively to both technical and non-technical stakeholders. Familiarity with GPU programming and optimization techniques for accelerating deep learning computations. Ability to adapt to shifting priorities without compromising deadlines and momentum. Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals. Benefits & Perks You’ll Love: Comprehensive Health Insurance: Including vision, dental, complementary therapies, and support for your overall well-being. Your Birthday Off: We celebrate your special day! 6 Personal/Sick Days: Take the time you need for your health or life’s unexpected moments. Work-Ready Equipment: Get the tools you need to succeed, provided upon request. Hybrid Work Model: Enjoy the best of both worlds with a mix of in-office collaboration and remote flexibility. Learning & Growth Opportunities: Training and resources tailored to your role and department. Supportive & Collaborative Team Culture: Work alongside team members who genuinely have your back Team Recognition & Action Awards: Celebrate wins and contributions in meaningful ways. Employee Referral Program: Earn rewards for bringing amazing talent to our team.

Responsibilities

Develop a next-generation intelligent translation engine using Generative AI and LLM technologies. Research and implement state-of-the-art algorithms, focusing on fine-tuning, deployment, and scalable inference.