Senior Software Developer, Applied AI in Haciendas del Canada, Nuevo León at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Developer, Applied AI based in Canada.

The Senior Software Developer, Applied AI will build the infrastructure that enables teams to develop and use AI-powered workflows at scale.
Rather than shipping traditional product features, you will focus on the platforms, frameworks, connectors, and guardrails that make AI-assisted work faster and more reliable.
You will play a senior engineering role within a small, highly autonomous Applied AI team with company-wide impact.
The position combines agentic systems, distributed systems, API design, cloud infrastructure, evaluation frameworks, and AI observability.
You will work closely with a Technical Product Manager while taking significant ownership of architecture, implementation, and technical direction.
Your work will help both engineering and non-technical teams safely apply AI to real operational workflows, including in a public-sector software environment.

• Design, build, and evolve an Agentic Software Development Lifecycle framework, including agent workflows, orchestration templates, and reusable components.
• Strengthen and extend existing AI infrastructure while ensuring the framework remains reliable and adaptable as models and delivery practices evolve.
• Build and operate the connector layer, including MCP servers and integrations with core systems, with strong permissions, versioning, testing, and monitoring.
• Develop evaluation harnesses, regression suites, automated quality gates, and scoring infrastructure to measure and continuously improve agent performance.
• Instrument AI workflows to track token consumption, latency, evaluation pass rates, usage, and other operational metrics.
• Build dashboards and alerts that provide visibility into AI quality, performance, reliability, and workflow-level economics.
• Implement guardrails covering permissions, audit trails, version control, and output controls to support trustworthy AI-assisted workflows in regulated and government-oriented environments.
• Develop skill and template libraries, onboarding experiences, and self-service tools that enable non-technical employees to use AI effectively.
• Establish feedback loops that capture usage data and insights to inform platform improvements and future AI initiatives.
• Take operational ownership of connectors, evaluation systems, and other existing Applied AI infrastructure.
• Partner with the Technical Product Manager and other stakeholders to determine technical priorities and translate roadmap requirements into scalable implementations.
• Measure platform success through improvements in reliability, adoption, developer productivity, AI quality, and operational efficiency.

Requirements:

• 6+ years of professional software engineering experience building and shipping production systems.
• 1–2+ years of hands-on experience building LLM-powered or agentic systems used by real users in production environments.
• Strong software engineering fundamentals, including distributed systems, API design, CI/CD, and cloud infrastructure.
• Practical experience with agent frameworks and coding agents such as Claude Code, LangGraph, or equivalent technologies.
• Experience with MCP or comparable tool protocols, structured outputs, and evaluation-driven development.
• Strong understanding of context management and the ability to make technical decisions based on measurable results and data.
• Platform engineering mindset, with an emphasis on enabling other teams to work more effectively and building systems that people can successfully adopt.
• Ability to document systems clearly and develop reusable infrastructure and tooling.
• Strong autonomy and ownership, with the ability to operate effectively within a small team with a broad organizational mandate.
• Excellent communication and collaboration skills, particularly when working across technical and non-technical teams.
• Experience in regulated or public-sector software environments is a plus.
• Prior DevOps, platform engineering, or internal developer platform ownership is desirable.
• Experience optimizing LLM costs and quality at scale, including model routing, caching, prompt compression, or fine-tuning trade-offs, is a plus.

Benefits:

• Base salary range of $103,000–$160,000, depending on skills, experience, qualifications, internal equity, and compensation philosophy.
• Remote work from Canada.
• Competitive compensation and benefits package.
• Paid time off designed to support work-life balance.
• Benefits intended to support employees and their families, with specific offerings depending on employment type.
• Occasional in-person company or departmental meetings, typically 1–2 times per year.
• An autonomous, ownership-focused work environment.
• Growth-oriented culture emphasizing continuous learning and development.
• Inclusive workplace that values diverse perspectives and experiences.
• Opportunity to work on AI infrastructure with broad organizational impact.
• Accessibility accommodations available throughout the hiring process.