GenAI Engineer | Hybrid, LLMs & AI Pipelines

Synechron; Montreal (administrative region); Hybrid; CAD 80,000 - 90,000; Full time

Benefits offered by this job

Paid time off 15 days

Personal leave 10 days

Insurance plan

Flexible hybrid policy

RRSP with 4% employer contribution

Udemy for Business access

Coaching with FinLabs & CoE

Projects with tier-one banks

Diverse global culture

Job summary

Synechron is seeking a Mid-Level Gen AI Engineer in Montreal to design, build, and deploy GenAI applications using LLMs, RAG, and embeddings. You will optimize data pipelines, integrate AI models with APIs, and evaluate performance while applying responsible AI practices.

The role requires 2–5 years of software engineering or AI development experience, with strong Python skills and cloud/API familiarity. The position offers a hybrid work arrangement and a competitive base salary with benefits.

Qualifications

• 2–5 years of experience in software engineering, machine learning, or AI development.

Responsibilities

• Design, develop, and deploy GenAI applications using LLMs, RAG, prompt engineering, and AI agents.
• Build and optimize data pipelines, vector databases, embeddings, and retrieval systems.
• Integrate AI models with APIs, enterprise applications, and cloud platforms.
• Evaluate model performance, accuracy, latency, cost, and reliability.
• Implement monitoring, testing, security, and responsible AI practices.
• Collaborate with product, engineering, and business teams to deliver scalable solutions.

Skills

Python

LLMs

RAG pipelines

Prompt engineering

Embeddings

Cloud platforms

REST APIs

Git

Docker

CI/CD

Problem-solving

Communication

Analytical skills

Tools

Pinecone

FAISS

Weaviate

Chroma

Job description

Synechron is seeking a Mid-Level Gen AI Engineer in Montreal to design, build, and deploy GenAI applications using LLMs, RAG, and embeddings. You will optimize data pipelines, integrate AI models with APIs, and evaluate performance while applying responsible AI practices.

The role requires 2–5 years of software engineering or AI development experience, with strong Python skills and cloud/API familiarity. The position offers a hybrid work arrangement and a competitive base salary with benefits.