Lead AI Back-End Engineer

🕒 August 27

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 10%

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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Newfold Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2021

💼 Consulting

📣 Marketing

📦 Logistics

💰 Venture Round on 2021-01

Consulting • Marketing • Logistics

Newfold Digital is a leading web presence solutions provider serving millions of small-to-medium businesses globally. Through its portfolio of brands, including Bluehost, CrazyDomains, HostGator, Network Solutions, Register. com, Web. com, and many others, Newfold Digital helps customers of all sizes build a digital presence that delivers results and adds value to businesses. With extensive product offerings such as domains, website builders, hosting, security, online marketing, professional website design, and SEO services, along with personalized support, Newfold Digital collaborates with its customers to meet their online presence needs.

📋 Description

• Set the technical architecture for an agent-powered platform using LLMs, retrieval technologies, agent frameworks, and microservice patterns • Drive architecture for high-throughput APIs using .NET, C#, Python 3.11+, FastAPI async, SQLModel, and Semantic Kernel • Lead multi-agent orchestration across handoff, sequential, parallel, and supervisor patterns • Guide implementation of Retrieval Augmented Generation on Azure AI Search, pgvector, Chroma, and equivalent platforms • Own end-to-end CI/CD pipelines, including linting, type checking, security scanning, testing, containerization, and deployment • Mentor and hire engineers and adopt AI coding agents such as Cursor and Claude Code • Champion observability and FinOps for LLM workloads using structured JSON logging, OpenTelemetry tracing, Langfuse, evaluation frameworks, and cost dashboards • Partner with Product and Security to translate business goals, compliance requirements, AI capabilities, and user feedback into a technical roadmap • Steer the core intelligence behind AI products serving millions of users while maintaining reliability, security, governance, and economic standards

🎯 Requirements

• 7+ years building and scaling production backend systems • 2+ years in a technical lead, staff, principal, or equivalent role • Expert REST API design and development using Python FastAPI or .NET C# APIs • Strong experience with dependency injection, middleware, profiling, performance optimization, and distributed systems • Hands-on leadership experience with Semantic Kernel or equivalent agent and LLM frameworks • Production experience with agent orchestration, tool calling, structured outputs, and multi-step workflows • Delivered at least one production RAG system or pipeline using a vector or hybrid search platform such as Azure AI Search, pgvector, Chroma, or equivalent • Deep PostgreSQL expertise plus SQLModel, SQLAlchemy 2, and Alembic migrations at scale • Experience integrating multiple frontier and cost-optimized model providers, including model routing, structured output, reasoning, tool calling, and fallback strategies • Fluency with Poetry, Docker, GitHub Actions, Azure DevOps, Jenkins, or Argo • Infrastructure as code fundamentals and blue-green or canary release strategies • Strong people leadership through code reviews, architectural guidance, technical mentoring, roadmap planning, hiring, and cross-team communication • Nice to have: message queue and event-driven architectures using RabbitMQ, Kafka, Azure Service Bus, or equivalent • Nice to have: GPU inference fleets, self-hosted open-weight models, or serverless model hosting • Nice to have: model gateways, intelligent model routing, MCP, agent interoperability, prompt caching, and LLM cost optimization • Nice to have: automatic evaluation pipelines, agent evaluations, LLM-as-judge techniques, safety guardrails, and cost-aware prompt and context engineering

🏖️ Benefits

• Work-life balance • Diversity and inclusion programs • Learning and development opportunities • 20+ affinity groups for networking and connection • Competitive HMO benefits – 175k MBL with one free dependent upon one year of service • Punctuality Bonus • Generous Vacation policy • Mentoring and career growth opportunities