Backend AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nexxa.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🏗️ Construction

🏭 Manufacturing

📦 Logistics

Construction • Manufacturing • Logistics

Nexxa. ai is an industrial AI company building agentic automation for industrial operations. Its platform learns from engineers and employees to take over complex, repetitive workflows, autonomously setting goals and execution criteria to increase productivity and resilience. Delivered as an integrated solution that works with existing technology stacks, Nexxa. ai positions itself as a SaaS-like enterprise tool that generates immediate ROI for operations teams.

📋 Description

• Design, build, and maintain backend services and APIs powering GenAI, LLM, and Computer Vision model integrations • Build and own AI/ML infrastructure including model-serving pipelines, inference services, data pipelines, and embedding/vector stores • Architect scalable, production-grade systems for real-time and batch AI workloads • Implement and optimize RAG systems, prompt/context pipelines, and orchestration layers • Build APIs, microservices, and integration layers connecting AI systems to customer data, legacy systems, and existing infrastructure • Own reliability, performance, and observability of backend AI systems, including logging, monitoring, testing, and CI/CD • Collaborate with Forward Deployed Engineers, ML engineers, and product teams to translate requirements into reusable backend capabilities • Evaluate and integrate ML, CV, and LLM models into production systems; manage model versioning, rollout, and deployment pipelines • Produce architecture diagrams, API specifications, and runbooks • Mentor engineers and contribute to backend engineering best practices

🎯 Requirements

• 4–8+ years of experience in backend software engineering, ML/platform engineering, or similar roles • Strong proficiency in TypeScript/Node.js • 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 • Experience with distributed systems, databases, and message queues • Experience integrating ML or Generative AI models, including LLMs and multimodal models, into backend services • Experience with inference, orchestration, and model evaluation • Understanding of AWS, GCP, or Azure • Experience with Docker and Kubernetes • Experience designing and operating batch and/or streaming data pipelines • Hands-on experience building RAG systems and AI memory architectures • Experience with retrieval pipelines, vector stores, context management, and long-term/session memory for LLM applications • Strong understanding of 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 PyTorch, TensorFlow, or OpenCV • Preferred: experience with MLOps tooling, model registries, feature stores, CI/CD for ML, and ML monitoring/observability • Preferred: background in Kafka, gRPC, WebSockets, industrial, IoT, or operational technology environments • Preferred: experience in startup or high-growth environments

🏖️ Benefits

• Equity package • Significant opportunities for career development and advancement • Comprehensive salary and equity package • Innovative environment focused on AI and automation technologies • Collaborative culture • Continuous improvement opportunities