3 дня назад
Associate LLM Engineer (Forward Deployment)
75 000 - 90 250$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate LLM Engineer (Forward Deployment) (LLM solutions and cloud platforms): Designing and deploying scalable LLM-based pipelines and distributed software systems with an accent on RAG, agentic workflows, governance, guardrails, and cloud infrastructure. Focus on architecting AI solutions for production workloads, automating DevOps workflows, and ensuring performance, security, and reliability for systems serving thousands of users.
Location: Toronto, Canada. Hybrid model with on-site work at client or offices three days per week and remote work two days per week. Client-facing work may require travel.
Salary: $75,000–$90,250 per year.
Company
is a management consulting and technology firm combining data, science, technology, and human ingenuity to create solutions and technology products for clients.
What you will do
- Design and develop scalable, distributed software systems and own architecture decisions.
- Translate business needs into technical requirements and oversee technical execution, code quality, deadlines, and resource allocation.
- Build and deploy LLM pipelines using RAG, agentic workflows, and parameter-efficient fine-tuning methods such as LoRA and QLoRA.
- Architect Databricks governance from data through AI model output, including Unity Catalog.
- Develop prompt and response guardrails for responsible AI requirements.
- Implement DevOps automation, monitoring, continuous integration, and delivery using Docker, Kubernetes, AWS, Azure, and Terraform.
Requirements
- Bachelor’s degree in computer science, information technology, or a related field, or equivalent experience.
- 1–5 years of software development experience, including relevant LLM application development.
- Strong Python and JavaScript skills, with experience using FastAPI or Django for stateless and stateful APIs.
- Proficiency with AWS, Databricks, Azure, Terraform, CloudFormation, Docker, and Kubernetes.
- Experience with LLM patterns and tools including RAG, vector databases, hybrid search, agent development, prompt engineering, OpenAI, Anthropic, AWS Bedrock, LangChain, or DSPy.
- Fluency in English and work authorization for Canada, or the ability to obtain it, are required.
Nice to have
- Front-end development experience with React, Next.js, or Tailwind CSS.
- Experience with Azure DevOps, Redis, vector search, and production systems serving thousands of users.
- Experience with security best practices, privacy regulations, Agile, Scrum, and continuous product delivery.
Culture & Benefits
- Flexible and connected hybrid working environment.
- Cross-functional skills development and customized learning pathways.
- Milestone training programs aligned with career progression.
- Internal mobility and role expansion opportunities.
- Comprehensive rewards supporting health, well-being, financial security, time away, and professional development.
Hiring process
- Submit an online application with a full set of official or unofficial transcripts.
- Candidates must possess or be able to obtain work authorization for their intended country of employment.
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