GenAI Engineer: Production LLMs & AI Systems

Tekshapers; Mississauga; On-site; CAD 100,000 - 120,000; Full time

Job summary

A tech solutions provider is seeking an experienced professional for an Apps Development role focusing on GenAI technologies. The ideal candidate has 8-10 years of experience and strong expertise in LLMs, machine learning, and data science. You'll be responsible for deploying LLM-based applications and developing robust solutions using various tools and frameworks in a cloud-native environment. Excellent problem-solving and collaboration skills are essential, alongside hands-on experience in Python programming.

Qualifications

• 8-10 years of relevant experience in Apps Development or systems analysis role.
• Experience with leading LLMs such as Google Gemini, OpenAI models, etc.
• Proven ability to build, tune, and deploy LLM-based applications.

Responsibilities

• Deploying GenAI-based models to production environments.
• Building robust prompt engineering strategies and reusable prompt templates.
• Integrating generative AI with enterprise applications using APIs.

Skills

Python programming proficiency

Strong foundational knowledge in GenAI

Machine Learning modeling

Data Science

Statistics

NLP fundamentals

Neural Networks

LLMs experience

Experience with RAG pipelines

Prompt engineering strategies

MLOps principles

CI/CD tools expertise

Container orchestration

Problem-solving abilities

Collaboration skills

Tools

TensorFlow

PyTorch

Transformers

FastAPI

LangChain

LlamaIndex

OpenShift

Kubernetes

Jenkins

GitLab CI

Azure DevOps

ArgoCD

Pandas

NumPy

scikit-learn

Job description

A tech solutions provider is seeking an experienced professional for an Apps Development role focusing on GenAI technologies. The ideal candidate has 8-10 years of experience and strong expertise in LLMs, machine learning, and data science. You'll be responsible for deploying LLM-based applications and developing robust solutions using various tools and frameworks in a cloud-native environment. Excellent problem-solving and collaboration skills are essential, alongside hands-on experience in Python programming.