Senior Software Engineer, AI

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design artificial intelligence systems.

• Create comprehensive AI solutions utilizing machine learning, deep learning, natural language processing (NLP), and generative AI.

• Develop applications powered by large language models (LLMs) using foundational models, prompt engineering, retrieval-augmented generation, structured outputs, function/tool calling, and agent workflows.

• Design and implement AI agents that plan, reason through complex tasks, interact with tools and APIs, retrieve contextual information, and execute controlled business process actions.

• Develop multi-agent and orchestration workflows ensuring control flow, observability, and fallback handling.

• Deploy, monitor, and maintain AI and machine learning models as well as agentic systems in a production environment.

• Construct pipelines for ingestion, preprocessing, vector search, model inference, and agent memory/context.

• Establish offline and online evaluation frameworks focusing on quality, latency, safety, task completion, reliability, and business outcomes.

• Optimize model selection, prompt efficiency, orchestration, latency, throughput, caching, token usage, and serving efficiency.

• Implement security measures, privacy protocols, responsible AI practices, model-risk controls, guardrails, permissions, compliance, and human-in-the-loop reviews.

• Create and implement advanced NLP algorithms and LLM models for Conversation Intelligence analytics.

• Collaborate with both internal and external stakeholders, integrating feedback from diverse sources.

⛳️ Requirements

• A bachelor’s degree in Computer Science, Engineering, or a related field is mandatory.

• Over 5 years of hands-on experience in training, evaluating, testing, deploying, and monitoring machine learning models in production settings.

• Practical experience with LLMs, prompt engineering, retrieval-augmented generation, structured outputs, and model evaluation.

• Familiarity with LangChain, LangGraph, Strands AI, or similar LLM/agent orchestration frameworks.

• Experience in designing or building AI agents utilizing planning, memory, tool calling, workflow orchestration, agent-to-agent communication, and external system integration.

• Strong proficiency in Python and backend frameworks such as Flask or Django.

• In-depth understanding of machine learning principles.

• Practical NLP experience encompassing text classification, named entity recognition (NER), clustering, topic modeling, semantic search, and conversational AI.

• Experience in fine-tuning LLMs and transformer-based models including BERT, RoBERTa, and ALBERT.

• Knowledge of tokenizers, embeddings, pre-trained models, and adaptation techniques.

• Proficiency with SQL and NoSQL databases, vector databases or embedding stores, and AI data pipelines.

• Experience with model serving, observability, evaluation, error analysis, prompt/version management, and production monitoring.

• Familiarity with Linux, testing, CI/CD, APIs, and version control systems.

• Exceptional communication, collaboration, critical thinking, analytical, and problem-solving abilities.

🏝️ Benefits

• A global team renowned for their enthusiasm and innovative spirit.

• An innovative product culture with diverse project exposure.

• Training and development opportunities from industry-leading experts.

• Medical and dental insurance coverage.

• Disability and life insurance options.

• Flexible paid time off (PTO).

• Paid holidays and parental leave.

• Comprehensive benefits to support various life circumstances and needs.

• Opportunities for career advancement.

• A balanced approach to work-life integration.

• Reasonable accommodations for eligible applicants with disabilities.