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Added 2 months ago
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Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
…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 at…
Added 2 months ago
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Security & Infrastructure Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
We hold SOC 2 Type 2 and ISO 27001, and we're moving toward more certifications because governing autonomous industrial systems responsibly is a commercial requirement in our market. You'll…
Added 2 months ago
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QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
- Full-time
- Remote
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…
Added 2 months ago
N
Backend AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
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…
Added 2 months ago
Machine Learning Programmer, Memory
Epic Games
Montreal, QC
As foundation models move from answering questions to acting over long horizons, memory becomes a central requirement. Systems must decide what is worth keeping and improve from experience.…
Added 2 months ago
JC
Systems Security Technician
Johnson Controls
Dartmouth, NS · CAN NS Dartmouth
- Full-time
Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce…
Added 2 months ago
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Design Engineer Lead
AGI | Global Food Infrastructure
Swift Current No. 137, SK
- Full-time
…agricultural commodities including seed, fertilizer, grain and feed systems and an expanding platform for food processing…
Added 2 months ago
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AI Enablement Business Partner
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
…technical depth with curiosity, sound judgment, product thinking, systems thinking, and a willingness to test new ideas. You will look beyond immediate symptoms, identify underlying needs,…
Added 2 months ago
R
Senior Software Engineer (Voyager)
Relay
Remote, Canada
- Full-time
- Remote
Our Engineering team is at the heart of building banking products that help millions of small businesses succeed. We’re on a journey to reinvent banking, and we’re looking for a curious,…
Added 2 months ago
DevOps Engineer
Corpay
Vancouver, BC
Collaborating with engineering teams to define infrastructure, deployment, and operational requirements early in the development lifecycle
Added 2 months ago
DC
Civil Engineer
Dillon Consulting Limited
St. John's, NL
- Full-time
A degree in civil engineering, applicants with a Civil Engineering Technology diploma and substantial, relevant experience will also be considered
Added 2 months ago
AF
Senior HR Business Partner
Armstrong Fluid Technology
Toronto, ON
- Full-time
The role partners with leaders across Engineering, Product Management, Sales, Service, Manufacturing, Supply Chain, Operations, and Corporate Functions to translate business priorities into…
Added 2 months ago
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Technical Consultant II, Water Engineer
Worley
Calgary, AB · Vancouver, BC
- Full-time
Familiarity with project delivery systems, quality management processes, and engineering consulting practices.
Added 2 months ago
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Software Engineer II - Distributed Systems
Microsoft
Vancouver, BC · Goodwood, ON
- Full-time
Microsoft’s Azure Data Engineering team is transforming the world of analytics through industry-leading products and services, including databases, data integration, big data analytics,…
Added 2 months ago
WW
Lead, Development Engineering
WhiteWater West-
Richmond, BC
- Full-time
…development in the industry. Reporting to Manager, Development Engineering, you are responsible for managing a cross-functional core team, bringing new concepts to life and into the hands…
Added 2 months ago
P
Assistant Business Manager - Energy and Building Solutions
Panasonic
Mississauga, ON
- Full-time
College or University degree (3- or 4-year Bachelor's) in Business Administration, Marketing, Engineering, or a related field.
Added 2 months ago
FH
Lead, Health Informatics
Fraser Health
Surrey, BC
- Full-time
…infant, Child Youth), Emergency, Allied Health and Biomedical Engineering. This role offers a unique opportunity to work at the intersection of clinical care, technology, and innovation,…
Added 2 months ago
Account Manager, Recent Graduate
Keysight Technologies, Inc.
Mississauga, ON
Maintain opportunity pipelines, forecasts, and customer information within CRM systems.
Added 2 months ago
Regulatory & Certification Affairs Principal
Moment Energy
Surrey, BC
…large-format batteries into advanced battery energy storage systems that deliver real-world…
Added 2 months ago
Lead Systems Engineer
Moment Energy
Surrey, BC
The Lead Systems Engineer will spearhead the architecture, integration, and technical lifecycle of our Battery Energy Storage Systems. This role bridges multidisciplinary engineering teams…
Added 2 months ago
Business Development - Director, Future Capabilities
OSI Maritime Systems
Burnaby, BC · BC
At OSI Maritime Systems, we pride ourselves on delivering world-class navigation and bridge systems. With decades of experience serving military customers, we remain at the forefront of…
Added 2 months ago
RS
Foreman (Red Deer)
RWC Systems
Calgary, AB
- Full-time
Added 2 months ago
CC
Senior Embedded Software Engineer
Corinex Communications
Vancouver, BC
- Full-time
Corinex is seeking an experienced Senior Embedded Software Engineer to join our engineering team in developing next-generation smart grid communication devices. In this role, you will work…
Added 2 months ago
IP
Project Coordinator, Major Projects
Iconic Power Systems Inc.
Mississauga, ON
- $72,000 to $75,000 CAD / year
- Full-time
Iconic Power Systems is experiencing steady growth as we continue to build long-term relationships with existing clients and foster relationships with new clients by providing them with…
Added 2 months ago
IP
Project Manager
Iconic Power Systems Inc.
Calgary, AB
- $130,000 to $155,000 CAD / year
- Full-time
Iconic Power Systems is experiencing steady growth as we continue to build long-term relationships with existing clients and foster relationships with new clients by providing them with…

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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