Senior Software Engineer

Collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. Contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment.

What You Will Do

Design, develop, and deploy conversational AI solutions using Large Language Models (LLMs). Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines. Conduct model evaluation, prompt engineering, and performance testing to ensure high-quality AI outputs.

Why It Might Be a Fit

The ideal candidate will have hands-on experience building, deploying, and optimizing AI-powered applications while collaborating with cross-functional stakeholders to solve complex business problems.

Requirements

• 2 to 4 years of experience in Software Engineering, Backend Development, Machine Learning, NLP, or related fields
• 1 to 2+ years of hands-on experience working with LLM APIs such as OpenAI, Anthropic, Azure OpenAI, or Hugging Face models
• Proven experience building and deploying RAG-based applications
• Strong understanding of prompt engineering, model evaluation techniques, and AI application lifecycle management
• Experience working directly with business stakeholders and managing technical requirements
• Proficiency in Python and relevant AI/ML libraries and frameworks
• Strong understanding of NLP concepts and transformer-based architectures (GPT, BERT, Llama, etc.)
• Experience with vector databases, embeddings, semantic search, and retrieval systems
• Knowledge of cloud platforms, preferably AWS, for deploying and managing AI applications
• Hands-on experience with Docker and Kubernetes for scalable application deployment
• Experience in data preprocessing, augmentation, and synthetic data generation techniques

Benefits

• Paid time off based on employee grade (A-F)
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs