Senior Software Engineer, AI Automation

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🔥 9 minutes ago

🇨🇦 Canada – Remote

💵 $134.6k - $184.6k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.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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Coalition Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Coalition Technologies is a leading digital marketing agency specializing in search engine optimization (SEO), pay-per-click (PPC) advertising, and web design. With a proven track record of success, the company has generated substantial revenue growth for clients across various industries by leveraging data-driven strategies and advanced technology. Coalition focuses on building lasting relationships with clients, providing customized solutions that maximize their online presence and profitability.

📋 Description

• Lead the technical design and delivery of AI agents, reusable skills, and automation workflows used by Coalition’s internal teams. • Translate complex, ambiguous business processes, judgment calls, and edge cases into reliable, maintainable software. • Design and evolve integrations between agents and systems of record using MCP and comparable tool-integration frameworks. • Define architecture, interfaces, data contracts, and operational standards for production AI systems. • Establish evaluation strategies, quality baselines, and release criteria; use results to make deployment and iteration decisions. • Build systems with controls for permissions, observability, auditability, human-in-the-loop review, failure containment, and rollback. • Partner with data engineering and business stakeholders to ensure automations use trustworthy data and have sustainable ownership. • Drive technical decisions across multiple workflows, identify reusable patterns, and raise the engineering bar for the team. • Mentor engineers and technical partners through design reviews, implementation guidance, and practical AI engineering standards. • Document systems, decisions, and operating practices so teams can safely maintain and extend what you build.

🎯 Requirements

• 7+ years of hands-on software engineering experience, including substantial recent experience building and shipping LLM-backed applications used by real users. • Demonstrated experience taking AI agents or multi-step automation workflows from prototype through reliable production operation. • Strong Python engineering skills and practical SQL expertise, including the ability to work directly with production data models. • Deep experience with prompting, tool use, agentic loops, structured outputs, multi-step workflows, error handling, and production deployment. • Experience designing and operating systems that integrate with business-critical systems of record. • Strong judgment around evaluation methodology, reliability, safety controls, and the tradeoffs required to deploy AI systems responsibly. • Solid production engineering fundamentals across Git, CI/CD, containers, deployment, monitoring, testing, permissions, and rollback. • Ability to lead technical work in ambiguous environments, influence stakeholders, and turn incomplete requirements into practical, high-quality solutions. • Clear written and verbal communication skills, with the ability to work directly with both technical and non-technical partners. • Bonus: Experience building or maintaining MCP servers, agent platforms, or reusable tool/skill frameworks. • Bonus: Experience designing evaluation harnesses, test datasets, and monitoring for LLM-backed systems. • Bonus: Background in internal tools, solutions engineering, professional services, startup environments, or founding teams. • Bonus: Familiarity with Linear, Jira, Zendesk, Salesforce, or Snowflake. • Bonus: Experience in insurance, fintech, cybersecurity, or another regulated environment. • Bonus: Experience mentoring engineers or acting as a technical lead for complex cross-functional initiatives.

🏖️ Benefits

• 100% medical, dental, and vision coverage • Flexible PTO • Annual home office stipend and WeWork access • Mental & physical health wellness programs like Headspace, Lumino, and more! • Competitive compensation and opportunity for advancement

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