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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 .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building production AI solutions, particularly in backend systems and applied AI technologies. Proficient in Python and familiar with various AI models and tools to enhance engineering processes and product outcomes.
Highest-signal resume keywords
Python ProgrammingApplied AI DevelopmentFastAPI FrameworkLLM IntegrationBackend Systems Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAsynchronous ProgrammingSQLAlchemyREST APIsData ModelingRAG SystemsNLP ApplicationsEvent-Driven WorkflowsDebugging TechniquesTool Calling
Tools & Technologies
PostgreSQLRedisRabbitMQKafkaAzure Service BusCursorClaude CodeCodexModel APIsMCP Tools
Industry Keywords
Distributed SystemsCloud-Based SystemsKnowledge Grounded SystemsConcurrencyBackground Processing
Tech Stack
Tools & technologiesAzureCloudDistributed SystemsKafkaPostgresPythonRabbitMQRedis
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 product requirements into practical AI solutions using LLMs, RAG, tool calling, agents, deterministic workflows, or traditional software where appropriate
- Build production AI services using Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools
- Implement reliable tool-calling agents and multi-step workflows interacting with internal APIs, MCP tools, business systems, and knowledge sources
- Build event-driven workflows with retries, dead-letter handling, idempotency, and failure recovery
- Build and improve RAG systems covering ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, context construction, and citations
- Integrate models from OpenAI, Anthropic, Google, xAI, and open-weight ecosystems
- Build and run AI evaluations using curated datasets, regression tests, retrieval metrics, LLM-as-judge techniques, groundedness checks, and tool-execution evaluation
- Debug hallucinations, retrieval failures, incorrect tool usage, agent loops, latency issues, provider failures, and unexpected inference costs
- Break product goals into manageable pieces, validate assumptions, implement solutions, and discuss architecture tradeoffs with senior engineers
- Turn product goals into testable technical tasks and prototype alternatives
- Measure quality, latency, reliability, safety, and cost and use those signals to improve solutions
- Own implementation across APIs, workflows, data, queues, model integration, evaluations, observability, and production support for assigned features
- Use AI coding agents to increase engineering velocity while preserving testing discipline, security, maintainability, and code quality
Requirements
What you’ll need- 3 or more years of professional software engineering experience building production backend, distributed, or cloud-based systems
- At least 1 year of hands-on experience building Applied AI, LLM, RAG, NLP, or agent-based applications
- Strong Python skills including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or SQLModel, and production API development
- Good backend and distributed systems fundamentals including REST APIs, concurrency, background processing, caching, reliability, and production debugging
- Hands-on experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent queue and messaging architectures is required
- Hands-on experience integrating LLM APIs and building structured output, function calling, tool calling, or agent execution workflows
- Experience building or contributing to a RAG or knowledge-grounded system, including retrieval, embeddings, indexing, context construction, and evaluation
- Working knowledge of PostgreSQL and data modeling, with exposure to 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 regular part of software engineering work
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. Software Engineer – AI 🔥 45 minutes ago 🌐 Canada, Argentina – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 👻 Ghost score 10% Azure Cloud Distributed Systems Kafka 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 product requirements into practical AI solutions using LLMs, RAG, tool calling, agents, deterministic workflows, or traditional software where appropriate
- Build production AI services using Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools
- Implement reliable tool-calling agents and multi-step workflows interacting with internal APIs, MCP tools, business systems, and knowledge sources
- Build event-driven workflows with retries, dead-letter handling, idempotency, and failure recovery
- Build and improve RAG systems covering ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, context construction, and citations
- Integrate models from OpenAI, Anthropic, Google, xAI, and open-weight ecosystems
- Build and run AI evaluations using curated datasets, regression tests, retrieval metrics, LLM-as-judge techniques, groundedness checks, and tool-execution evaluation
- Debug hallucinations, retrieval failures, incorrect tool usage, agent loops, latency issues, provider failures, and unexpected inference costs
- Break product goals into manageable pieces, validate assumptions, implement solutions, and discuss architecture tradeoffs with senior engineers
- Turn product goals into testable technical tasks and prototype alternatives
- Measure quality, latency, reliability, safety, and cost and use those signals to improve solutions
- Own implementation across APIs, workflows, data, queues, model integration, evaluations, observability, and production support for assigned features
- Use AI coding agents to increase engineering velocity while preserving testing discipline, security, maintainability, and code quality 🎯 Requirements
- 3 or more years of professional software engineering experience building production backend, distributed, or cloud-based systems
- At least 1 year of hands-on experience building Applied AI, LLM, RAG, NLP, or agent-based applications
- Strong Python skills including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or SQLModel, and production API development
- Good backend and distributed systems fundamentals including REST APIs, concurrency, background processing, caching, reliability, and production debugging
- Hands-on experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent queue and messaging architectures is required
- Hands-on experience integrating LLM APIs and building structured output, function calling, tool calling, or agent execution workflows
- Experience building or contributing to a RAG or knowledge-grounded system, including retrieval, embeddings, indexing, context construction, and evaluation
- Working knowledge of PostgreSQL and data modeling, with exposure to 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 regular part of software engineering work 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