Z

ZS

Global management consulting for sales optimization

LLM Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaNo salary listedHybrid

About the Job

Requirements

  • 1–5 years of experience in software development, with relevant work experience in LLM application development.
  • Bachelor's degree in computer science, information technology, or a related field, or equivalent work experience.
  • Proficiency in Python and JavaScript.
  • Experience with stateless and stateful API frameworks such as FastAPI and Django.
  • Proficiency in AWS, Databricks, and Azure.
  • Experience developing infrastructure-as-code scripts, particularly with Terraform and CloudFormation.
  • Strong experience with LLM patterns including retrieval-augmented generation, vector databases, hybrid search, agent development, agentic workflows, and prompt engineering.
  • Strong experience with LLM APIs such as OpenAI, Anthropic, and AWS Bedrock, and SDKs such as LangChain and DSPy.
  • Hands-on experience with Docker, Kubernetes, and AWS services including Redshift, RDS, and S3.
  • Hands-on experience with Databricks solutions, including Unity Catalog.
  • Experience with production deployments serving thousands of users, including capabilities such as Redis and vector search.
  • Understanding of scalable application design principles, security best practices, and compliance with privacy regulations.
  • Knowledge of software engineering practices including Git, DevOps, and Agile or Scrum.
  • Experience with the software development life cycle and development best practices.
  • Experience with Agile methodology for continuous product development and delivery.
  • Ability to communicate complex technical concepts effectively to a diverse audience.
  • Candidates must possess or be able to obtain work authorization for their intended country of employment.

Responsibilities

  • Take ownership of architecture design and development of scalable, distributed software systems.
  • Translate business requirements into technical requirements.
  • Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation.
  • Use data-driven decision-making to achieve product goals.
  • Design, develop, and deploy LLM-based pipelines using patterns such as retrieval-augmented generation, agentic workflows, and parameter-efficient fine-tuning, including LoRA and QLoRA.
  • Manage the complete software development life cycle, including requirements analysis, design, coding, testing, and deployment.
  • Use AWS and Azure services, including identity and access management, monitoring, load balancing, autoscaling, databases, networking, storage, ECR, AKS, and ACR.
  • Use Databricks capabilities, especially Unity Catalog, and architect the governance layer from data through AI model output.
  • Design, develop, and deploy prompt and response guardrails to support responsible AI requirements.
  • Implement DevOps practices using Docker and Kubernetes to support continuous integration and delivery; develop DevOps scripts for automation and monitoring.
  • Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.

Desired Qualifications

  • Knowledge and hands-on experience with front-end development using React.js, Next.js, and Tailwind CSS.
  • Experience with Azure DevOps.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

Recently Posted Jobs

Explore more opportunities at ZS

See more jobs