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Added 2 months ago
V
Founding Engineer
VoiceValet
Vancouver, BC
- $100,000 to $175,000 CAD / year
- Full-time
Experienced with object-oriented development (e.g., Python)
Added 2 months ago
KC
Manager/Senior Manager,Enterprise Transformation & Turnaround - Strategy
KPMG Canada
Montreal, QC
- Full-time
Hands-on experience with Alteryx, Python or Power BI (or demonstrated ability to learn quickly)
Added 2 months ago
BO
Feature Lead – Technology
Bank of America
Toronto, ON
- $141,100 to $165,000 USD / year
- Full-time
Strong hands-on experience with Java, Python, and SQL.
Added 2 months ago
R
Senior Principal Software Engineer, Feature Store
Redis
Remote, Canada
- Full-time
- Remote
…status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business - whether you’re building it, telling its story, or selling it to our…
Added 2 months ago
TA
Knowledge Graph Analyst
Tiger Analytics Inc.
Toronto, ON
- Full-time
Additional Graph Methods: Hands-on experience with Python (NetworkX), RDF/SPARQL, or SQL Graph databases is a plus.
Added 2 months ago
Senior Site Reliability Engineer I
Braze
Vancouver, BC
…those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued…
Added 2 months ago
Senior Site Reliability Engineer I
Braze
Toronto, ON
…those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued…
Added 2 months ago
MF
AI & Automation Engineer
Magnet Forensics
Waterloo, ON
- $110,000 to $130,000 CAD / year
- Full-time
Working proficiency in at least one scripting or programming language commonly used for automation, such as Python, PowerShell, JavaScript/TypeScript, C#, or Bash, along with working…
Added 2 months ago
C
ASIC Synthesis and STA Engineer - New Grad
Ciena
Ottawa, ON
- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
Added 2 months ago
C
Quality Analyst (Python/ API Testing)
CGI
Halifax, NS
- Full-time
…and performance of enterprise applications. Working closely with software developers, business analysts, and project teams, you will build automation frameworks, validate APIs and backend…
Added 2 months ago
PN
Senior Full-Stack Developer
Projekt Network
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
We're looking for a Senior Full-Stack Developer who can move confidently across all three of our surfaces - the Django API, the Next.js web app, and the React Native mobile apps.
Added 2 months ago
1L
Senior Full-Stack and AI Developer
1280 Labs
Remote, Canada
- $90,000 to $200,000 CAD / year
- Full-time
- Remote
strong react, typescript and nestjs experience, python
Added 2 months ago
PC
Hadoop Developer
Pyramid Consulting, Inc
ON · Ontario, Canada
- Contract
Immediate need for a talented Hadoop Developer This is a 12+ months opportunity with long-term potential and is located in Canada/United States (onsite) Please review the job description…
Added 2 months ago
TU
Postdoctoral Research Fellow
The University of British Columbia
Vancouver, BC
- Full-time
Excellent programing skills (e.g., Python, R), with hands-on experience in Bash scripting, workflow management (Snakemake), LLMs, text mining, or knowledge graph construction (e.g.,…
Added 2 months ago
HC
Co-op Engineer - Machine Learning and AI Infrastructure
Huawei Canada
Markham, ON
- Full-time
Strong programming skills, preferably in Python. Solid software engineering fundamentals, including debugging, testing, Git, and working with existing codebases.
Added 2 months ago
PC
Cloud Engineer
Pyramid Consulting, Inc
ON · Ontario, Canada
- Contract
Immediate need for a talented Cloud Engineer. This is a 12+ months contract opportunity with long-term potential and is located in Canada/United States (onsite) Please review the job…
Added 2 months ago
W
Software Developer
Wabtec
London, ON
- Full-time
Development on a variety of platforms, including Windows IoT and Linux, with strong proficiency in languages and frameworks such as C/C++ (x86/64, ARM, Motorola, Freescale), C#, and Python.
Added 2 months ago
N
AI Vision Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
This role is ideal for someone with a strong foundation in Computer Vision and Machine Learning who is excited about working across the full vision stack, including classical and…
Added 2 months ago
N
Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
…physical operations - not just software. You'll partner closely with AI, data, and product engineering teams to make sure the systems they build can actually run in production, safely and…
Added 2 months ago
N
Security & Infrastructure Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Build controls into infrastructure so they hold automatically, replacing manual verification with guardrails that fail closed
Added 2 months ago
N
QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
- Full-time
- Remote
You'll work closely with ML engineers, backend engineers, and Forward Deployed Engineers to define what "good" looks like for an agent operating in high-stakes industrial settings, then…
Added 2 months ago
N
Backend AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Strong proficiency in TypeScript/Node.js (our primary backend language), with strong API and microservice design skills. Working proficiency in Python is a plus for ML/model integration…
Added 2 months ago
H(
AI Enablement Business Partner
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Working technical fluency with at least one of: Power Platform (Power Automate, Power Apps, Copilot Studio), API integration with LLM providers, or scripting/light development (Python,…
Added 2 months ago
DevOps Engineer
Corpay
Vancouver, BC
Experience with scripting languages such as PowerShell, Python, or bash

Nexxa.AI

Backend AI Engineer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Experience: 4–8+ years of experience in backend software engineering, ML/platform engineering, or similar roles.
Posting language: English
Posted: Aug 27, 2026

Original job description

Nexxa is building the best AI systems for heavy industries - enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments.
Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

Role Overview

We're looking for Backend AI Engineers to design, build, and own the core AI infrastructure and services that power Nexxa's products in production. Where our Forward Deployed Engineers embed with customers to deliver solutions on the ground, this role builds the systems that make those solutions possible at scale: model-serving pipelines, inference and orchestration layers, data pipelines, and the APIs and microservices that connect Generative AI, Computer Vision, and Machine Learning models to real enterprise environments.

This role is a blend of backend software engineering, ML infrastructure, and systems architecture. You'll design distributed systems, integrate and serve models in production, and build the reusable platform capabilities that our customer-facing and product teams depend on.

Key Responsibilities

Design, build, and maintain backend services and APIs that power GenAI, LLM, and Computer Vision model integrations across Nexxa's products.
Build and own core AI/ML infrastructure: model-serving pipelines, inference services, data pipelines, and embedding/vector stores.
Architect scalable, production-grade systems for real-time and batch AI workloads across manufacturing, infrastructure, and logistics domains.
Implement and optimize RAG systems, prompt/context pipelines, and orchestration layers connecting models to enterprise and operational data sources.
Build robust APIs, microservices, and integration layers connecting AI systems to customer data, legacy systems, and existing infrastructure.
Own the reliability, performance, and observability of backend AI systems - logging, monitoring, testing, and CI/CD for ML services.
Collaborate closely with Forward Deployed Engineers, ML engineers, and product teams to translate customer and field requirements into reusable, hardened backend capabilities.
Evaluate and integrate ML/CV/LLM models into production backend systems; manage model versioning, rollout, and deployment pipelines.
Produce clear technical documentation: architecture diagrams, API specs, and runbooks for internal and customer-facing teams.
Mentor engineers and contribute to internal backend engineering best practices.

Qualifications

4–8+ years of experience in backend software engineering, ML/platform engineering, or similar roles.
Strong proficiency in TypeScript/Node.js (our primary backend language), with strong API and microservice design skills. Working proficiency in Python is a plus for ML/model integration work.
Hands-on experience building and operating production backend systems at scale - distributed systems, databases, message queues.
Experience integrating ML or Generative AI models (LLMs, multimodal models) into backend services - inference, orchestration, and evaluation.
Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Experience designing and operating data pipelines (batch and/or streaming) across structured and unstructured data.
Hands-on experience building retrieval-augmented generation (RAG) systems and AI memory architectures - retrieval pipelines, vector stores, context management, and long-term/session memory for LLM applications.
Strong grasp of system design fundamentals: scalability, reliability, security, and observability.
Comfortable working cross-functionally with ML engineers, product, and customer-facing teams.
Bachelor's degree (or higher) in Computer Science or a related field.

Preferred

Familiarity with ML frameworks (PyTorch, TensorFlow, OpenCV) sufficient to integrate, serve, or evaluate models, even without training them yourself.
Experience with MLOps tooling: model registries, feature stores, CI/CD for ML, and monitoring/observability for ML systems.
Background in event-driven or real-time systems (Kafka, gRPC, WebSockets).
Experience in industrial, IoT, or operational technology (OT) environments.
Experience in startup or high-growth environments.

What We're Looking For

A backend engineer who wants to build the infrastructure powering real-world autonomous AI systems.
Someone who can architect for scale and reliability while still moving fast.
A systems thinker who enjoys turning ambiguous AI capabilities into dependable, production-grade backend services.
A strong collaborator who partners well with ML engineers, Forward Deployed teams, and product.

Why Join Nexxa.AI?

Innovative Environment: Build the foundational systems behind groundbreaking AI and automation technologies transforming heavy industries.

Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement.

Professional Growth: Benefit from significant opportunities for career development and advancement.

Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.

If you're passionate about backend engineering and eager to build the infrastructure powering advanced AI solutions, we'd love to connect.

Apply About employer

More about this job

Responsibilities

Design and maintain backend services and AI infrastructure to support model-serving pipelines and enterprise integrations. Collaborate with cross-functional teams to translate technical requirements into scalable, production-grade systems.

Requirements

Requires 4-8+ years of experience in backend or ML platform engineering with strong proficiency in TypeScript and Node.js. Candidates must have hands-on experience with distributed systems, cloud infrastructure, and integrating AI models into production environments.

Skills

TypeScript
Node.js
Python
Distributed systems
Machine learning
Computer vision
Generative AI
LLMs
RAG systems
API design
Microservices
Cloud infrastructure
Docker
Kubernetes
Data pipelines
System architecture

Benefits

Competitive salary
Equity package

Remote locations

Toronto, Canada

Remote locations (standardized)

Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Backend Engineering
AI Infrastructure
TypeScript
Node.js
Python
Distributed Systems
Machine Learning
Computer Vision
Generative AI
LLM
RAG
Vector Stores
API
Microservices
AWS
GCP
Azure
Docker
Kubernetes
Data Pipelines
CI/CD
MLOps
Kafka
gRPC
WebSockets
Industrial IoT
System Design
Observability
Scalability
Reliability

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