Senior Software Engineer – AI

Newfold Digital

. Build production AI experiences across Network Solutions, including conversational agents, business and website creation, knowledge and FAQ agents, content experiences, domain discovery, and intelligent automation .

Posted 9/15/2026full-timeRemote • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building production AI systems, including Applied AI, LLM, and RAG applications, with a strong focus on Python, FastAPI, and backend development. Proficient in designing and implementing reliable, scalable, and cost-efficient solutions while ensuring high-quality performance metrics.

Highest-signal resume keywords

Advanced Python SkillsProduction AI ExperienceBackend and Distributed Systems FundamentalsExperience with RabbitMQ or KafkaStrong PostgreSQL and Data Modeling Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIAsynchronous ProgrammingPostgreSQLRedisRAG SystemsNLPAI Coding AgentsREST APIsData Modeling

Tools & Technologies

RabbitMQKafkaAzure Service BusDockerCI/CDOpenTelemetryLangfuseSemantic KernelMicrosoft Agent FrameworkKubernetes

Industry Keywords

Applied AILLMAgent-Based ApplicationsKnowledge-Grounded SystemsAI Evaluation PipelinesRetrieval QualityHallucination MitigationModel Context ProtocolAutomated Agent EvaluationHigh-Scale Customer-Facing AI Products

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsDockerKafkaKubernetesPostgresPythonRabbitMQRedis

About the role

Key responsibilities & impact

Build production AI experiences across Network Solutions, including conversational agents, business and website creation, knowledge and FAQ agents, content experiences, domain discovery, and intelligent automation
Translate loosely defined product problems into practical AI solutions
Evaluate different approaches and independently turn the strongest solution into reliable, secure, observable, and cost-efficient production systems
Design and build production AI services using Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools
Build reliable tool-calling agents and multi-step workflows interacting with internal APIs, MCP tools, business systems, and knowledge sources
Design event-driven systems with retries, dead-letter handling, idempotency, back pressure, and failure recovery
Build and improve RAG systems covering ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, context construction, and citations
Experiment with models from OpenAI, Anthropic, Google, xAI, and open-weight ecosystems
Create AI evaluation pipelines using curated datasets, regression tests, retrieval metrics, LLM-as-judge techniques, groundedness checks, and tool-execution evaluation
Diagnose hallucinations, retrieval failures, incorrect tool usage, agent loops, latency issues, provider failures, and unexpected inference costs
Use AI coding agents to accelerate design, implementation, testing, debugging, and refactoring
Turn product goals into testable technical hypotheses and rapidly prototype alternatives
Define quality, latency, reliability, safety, and cost targets and measure production performance
Own implementation across APIs, workflows, data, queues, model integration, evaluations, observability, and production support

Requirements

What you’ll need

5 or more years of professional software engineering experience building production backend, distributed, or cloud-based systems
Hands-on experience building Applied AI, LLM, RAG, NLP, or agent-based applications, with meaningful production exposure
Advanced Python skills including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or SQLModel, and production API development
Strong backend and distributed systems fundamentals including REST APIs, concurrency, background processing, caching, reliability, and production debugging
Production experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent queue and messaging architectures
Hands-on experience integrating LLM APIs and building structured output, function calling, tool calling, or agent execution workflows
Experience building at least one RAG or knowledge-grounded system with measurable quality and latency outcomes
Strong PostgreSQL and data modeling skills, with experience using Redis, pgvector, vector databases, or hybrid search technologies
Demonstrated use of AI coding agents such as Cursor, Claude Code, Codex, or equivalent tools as a core part of daily software engineering
Comfort understanding how modern AI systems behave, fail, and scale in production
Strong understanding of prompting, structured outputs, tool schemas, context management, model routing, retries, fallbacks, rate limits, and streaming responses
Ability to design experiments and evaluations using measurable outcomes
Understanding of retrieval quality, grounding, hallucination mitigation, prompt injection risks, tool authorization, and practical agent guardrails
Experience with Docker, CI/CD, automated testing, observability, distributed tracing, OpenTelemetry, Langfuse, or similar tooling
Experience with Semantic Kernel, Microsoft Agent Framework, LangGraph, PydanticAI, or equivalent agent frameworks
Experience building or consuming Model Context Protocol tools and servers, or working with model gateways such as LiteLLM
Experience with Azure AI Search, pgvector, Chroma, Kubernetes, Azure, OCI, or similar production AI platform technologies
Experience building high-scale customer-facing AI products, open-weight model inference, AI safety controls, or automated agent evaluation systems

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Newfold Digital Website LinkedIn All 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. Senior Software Engineer – AI Job not on LinkedIn 🔥 39 minutes ago 🌐 Canada, Argentina – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer 👻 Ghost score 10% Azure Cloud Distributed Systems Docker Kafka Kubernetes Postgres Python RabbitMQ Redis Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Build production AI experiences across Network Solutions, including conversational agents, business and website creation, knowledge and FAQ agents, content experiences, domain discovery, and intelligent automation
Translate loosely defined product problems into practical AI solutions
Evaluate different approaches and independently turn the strongest solution into reliable, secure, observable, and cost-efficient production systems
Design and build production AI services using Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools
Build reliable tool-calling agents and multi-step workflows interacting with internal APIs, MCP tools, business systems, and knowledge sources
Design event-driven systems with retries, dead-letter handling, idempotency, back pressure, and failure recovery
Build and improve RAG systems covering ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, context construction, and citations
Experiment with models from OpenAI, Anthropic, Google, xAI, and open-weight ecosystems
Create AI evaluation pipelines using curated datasets, regression tests, retrieval metrics, LLM-as-judge techniques, groundedness checks, and tool-execution evaluation
Diagnose hallucinations, retrieval failures, incorrect tool usage, agent loops, latency issues, provider failures, and unexpected inference costs
Use AI coding agents to accelerate design, implementation, testing, debugging, and refactoring
Turn product goals into testable technical hypotheses and rapidly prototype alternatives
Define quality, latency, reliability, safety, and cost targets and measure production performance
Own implementation across APIs, workflows, data, queues, model integration, evaluations, observability, and production support 🎯 Requirements
5 or more years of professional software engineering experience building production backend, distributed, or cloud-based systems
Hands-on experience building Applied AI, LLM, RAG, NLP, or agent-based applications, with meaningful production exposure
Advanced Python skills including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or SQLModel, and production API development
Strong backend and distributed systems fundamentals including REST APIs, concurrency, background processing, caching, reliability, and production debugging
Production experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent queue and messaging architectures
Hands-on experience integrating LLM APIs and building structured output, function calling, tool calling, or agent execution workflows
Experience building at least one RAG or knowledge-grounded system with measurable quality and latency outcomes
Strong PostgreSQL and data modeling skills, with experience using Redis, pgvector, vector databases, or hybrid search technologies
Demonstrated use of AI coding agents such as Cursor, Claude Code, Codex, or equivalent tools as a core part of daily software engineering
Comfort understanding how modern AI systems behave, fail, and scale in production
Strong understanding of prompting, structured outputs, tool schemas, context management, model routing, retries, fallbacks, rate limits, and streaming responses
Ability to design experiments and evaluations using measurable outcomes
Understanding of retrieval quality, grounding, hallucination mitigation, prompt injection risks, tool authorization, and practical agent guardrails
Experience with Docker, CI/CD, automated testing, observability, distributed tracing, OpenTelemetry, Langfuse, or similar tooling
Experience with Semantic Kernel, Microsoft Agent Framework, LangGraph, PydanticAI, or equivalent agent frameworks
Experience building or consuming Model Context Protocol tools and servers, or working with model gateways such as LiteLLM
Experience with Azure AI Search, pgvector, Chroma, Kubernetes, Azure, OCI, or similar production AI platform technologies
Experience building high-scale customer-facing AI products, open-weight model inference, AI safety controls, or automated agent evaluation systems Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Talent Acquisition Lead, AI-Native Hire 🕒 4 days ago Talent 201 - 500 💼 Consulting ⚖️ Legal 📣 Marketing Website LinkedIn All Job Openings Talent Acquisition Lead owning full-cycle hiring at Talent.com, a global job-matching platform. Shaping AI hiring tools, automation workflows, and interviewer capability across Canada. 🇨🇦 Canada – Remote 💵 $95k - $115k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🗣️🇫🇷 French Required Senior Software Developer, AI Agents 🕒 4 days ago Knak 51 - 200 🏢 Enterprise ☁️ SaaS 📣 Marketing Website LinkedIn All Job Openings Senior developer building production AI agents for Knak’s enterprise email and landing-page platform. Developing agent runtimes, evaluations, APIs, and AWS infrastructure. 🇨🇦 Canada – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Docker JavaScript Kubernetes Laravel Microservices MySQL Node.js PHP Python Senior Software Engineer – AI Security 🕒 5 days ago Sophos 1001 - 5000 💼 Consulting 🏥 Healthcare 🏭 Manufacturing Website LinkedIn All Job Openings Senior Software Engineer owning end-to-end AI-powered cybersecurity product development at Sophos. Building LLM-driven workflows, automation, interfaces, APIs, and scalable systems. 🇨🇦 Canada – Remote 💵 $125k - $209k / year 💰 Post-IPO Equity on 2021-08 ⏰ Full Time 🟠 Senior 🤖 AI Engineer AI Engineer 🕒 September 2 Inviso 201 - 500 💼 Consulting 📣 Marketing ☁️ SaaS Website LinkedIn All Job Openings Applied AI Engineer building reliable, measurable production AI systems for Inviso’s enterprise clients. Operating LLM, RAG, agent, evaluation, and safety capabilities. 🇨🇦 Canada – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Azure AI Engineer 🕒 September 1 Inviso 201 - 500 💼 Consulting 📣 Marketing ☁️ SaaS Website LinkedIn All Job Openings Applied AI Engineer building reliable, evaluated, and monitored production AI systems for Inviso’s enterprise clients. Designing agent runtimes, RAG, guardrails, and model-routing capabilities. 🇨🇦 Canada – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Azure View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Remote jobs Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources About us Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs