Generative AI Software Engineer

Apertera • Montreal, QC

3d • Hybrid

About The Position

Apertera is seeking a Generative AI Engineer to develop its next-generation intelligent translation and translation-related service engine, utilizing Generative AI (GenAI) and Large Language Model (LLM) technologies. The role involves reporting to the team lead on GenAI, developing and implementing state-of-the-art algorithms through fast prototyping, and collaborating with the software team for model deployment. The ideal candidate will stay current with technological advancements and apply LLM and GenAI to machine translation using industry best practices, supported by a strong background in deep learning, machine learning, natural language processing, and big data.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 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.
• 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.

Nice To Haves

• 2+ years of industry experience developing GenAI and LLM applications is preferred.
• Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent.
• Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree