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Added 1 month ago
Staff Engineer (Platform)
Later
Vancouver, BC
7+ years of professional experience in software development, with a strong background in distributed systems, platform engineering, and driving architectural decisions.
Added 2 months ago
TT
Director of Software Product Management, MVC
Teledyne Technologies Incorporated
Richmond, BC · Montreal, QC · Canada - Richmond, BC
- Full-time
…water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical…
Added 2 months ago
E
Senior/Staff/Principal Product Manager, AI Orchestration & Agentic Workflows
EvenUp
Toronto, ON
- $177,650 to $273,370 USD / year
- Full-time
Experience with LLMs, RAG systems, or 0→1 product development is highly preferred.
Added 2 months ago
R
Senior Principal Software Engineer, Feature Store
Redis
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Principal Software Engineer to own and drive our feature store product. This is a unique opportunity to shape the technical direction of a product that serves…
Added 2 months ago
TA
Knowledge Graph Analyst
Tiger Analytics Inc.
Toronto, ON
- Full-time
…and graph implementations, you will bridge technical graph development with strategic data governance frameworks. You will model complex data ecosystems across ontology, taxonomy,…
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
PN
Senior Full-Stack Developer
Projekt Network
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
5+ years of professional software development experience
Added 2 months ago
HC
Co-op Engineer - Machine Learning and AI Infrastructure
Huawei Canada
Markham, ON
- Full-time
Familiarity with LLMs, AI agents, or ML evaluation workflows. Experience with frontend development such as React or TypeScript. Open-source contributions, internships, or substantial…
Added 2 months ago
N
Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
…reliability directly affect 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…
Added 2 months ago
N
QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Professional Growth: Benefit from significant opportunities for career development and advancement.
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
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
learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees’ career growth
Added 1 month ago
RB
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 3 months ago
L
Software Engineer
Larus
Ottawa, ON
- Full-time
Advocate high quality and best-practices in software design and development;
Added 1 month ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 2 months ago
L
Senior Full-stack Engineer
Limbic
Remote, Canada
- Full-time
- Remote
Added 2 months ago
I
Staff Software Developer - Backend Engineering
Intuit
Toronto, ON
- Full-time
Come join the API Management Platform Team as a Staff Software Developer.
Added 2 months ago
O
Wireless Communications Systems Developer (SDR / Protocols / Embedded)
Octasic
Montreal, QC
- Full-time
We are looking for a Wireless Communications Systems Developer to join our software-defined radio team. The ideal candidate has strong experience in embedded software development, debugging…
Added 2 months ago
A(
Machine Learning Resident – Client: OpenCycle (12 month term)
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
…project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and…
Added 2 months ago
I
Staff Software Developer - Backend Engineering
Intuit
Toronto, ON
- Full-time
Come join the API Management Platform Team as a Staff Software Developer.
Added 1 month ago
Staff Engineer (Product)
Later
Vancouver, BC
8–15 years of professional experience in software development, with a track record of shipping large-scale, high-quality features and systems and driving architectural decisions at the org…
Added 1 month ago
Senior Engineer (Platform)
Later
Vancouver, BC
…culture of technical excellence. With deep expertise in modern software development and Agile practices, you’ll shape how we build, scale, and innovate - directly influencing product…
Added 2 months ago
Intermediate AI Engineer
Price Industries Limited
Winnipeg, MB
Personal and Professional Development - We are committed to helping you reach your potential through training and education.
Added 2 months ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
3–5+ years of enterprise software development experience with strong full-stack web fundamentals
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Remote, Canada
- Remote
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…

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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