Machine Learning Engineer Data Science / AI Toronto,Canada

Haptiq is a leader in AI-powered enterprise

operations, delivering digital solutions and consulting services

that drive value and transform businesses. We specialize in using

advanced technology to streamline operations, improve efficiency,

and unlock new revenue opportunities, particularly within the

private capital markets. Our integrated ecosystem includes PaaS -

Platform as a Service, the Core Platform, an AI-native enterprise

operations foundation built to optimize workflows, surface

insights, and accelerate value creation across portfolios; SaaS -

Software as a Service , a cloud platform delivering unmatched

performance, intelligence, and execution at scale; S&C -

Solutions and Consulting Suite , modular technology playbooks

designed to manage, grow, and optimize company performance. With

over a decade of experience supporting high-growth companies and

private equity-backed platforms, Haptiq brings deep domain

expertise and a proven ability to turn technology into a strategic

advantage. About the Role We’re looking for an innovative ML

Engineer

to join our AI team and help design,

prototype, and operationalize advanced AI systems, including

Retrieval-Augmented Generation (RAG) pipelines, MCP services, and

agentic workflows . You’ll work closely with Python Developers and

MLOps Engineers to bring AI-powered features from concept to

production. Key Responsibilities Design, prototype, and iterate on

AI models, RAG pipelines, MCP services, and agentic reasoning

systems. Develop AI-powered services using frameworks such as

LangChain, LangGraph, CrewAI, LlamaIndex, Haystack, and DSPy. Build

and optimize prompts for AI-driven tasks like chat, summarization,

information extraction, and decision support. Integrate and tune

vector databases (e.g., Chroma, FAISS, Pinecone, Qdrant) to

optimize vector search workflows. Collaborate with Python

Developers to define service interfaces, APIs, and operational

requirements. Implement task decomposition, memory management, and

tool-use strategies within agentic systems. Monitor AI system

performance, operational risks, and prompt evaluation metrics. Stay

current with emerging AI frameworks, architectures, and best

practices in AI observability and evaluation. Required Skills &

Experience Strong Python development skills with an emphasis on

clean, scalable, and modular code. Hands-on experience working with

LLMs and agent frameworks . Solid understanding of RAG

architecture, vector search concepts

cosine

similarity, MMR, late interaction), and system design. Experience

building multi-step agentic workflows

reasoning systems. Familiarity with AI performance metrics, model

drift detection, and operational monitoring. Awareness of AI

limitations, including latency, hallucination risks, and

explainability challenges. Experience with DSPy or other prompt

optimization tools

is a plus. A curious,

experimental mindset with a passion for testing emerging AI tools

and frameworks Flexible work arrangements (including hybrid mode)

Great Paid Time Off (PTO) policy Opportunities for professional

growth and development. A supportive, dynamic, and inclusive work

environment. Why Join Us? We value creative problem solvers who

learn fast, work well in an open and diverse environment, and enjoy

pushing the bar for success ever higher. We do work hard, but we

also choose to have fun while doing it. Job ID 9472926614 | Posted

on June 27, 2025 Can’t find the right role? Email your resume

tohaptiq@jobflowsmail.com to be considered for new positions in the

future. Haptiq does not discriminate on the basis of race, sex,

color, religion, age, national origin, marital status, disability,

veteran status, genetic information, sexual orientation, gender

identity or any other reason prohibited by law in provision of

employment opportunities and

benefits.

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