Staff AI Engineer

• Manage and mentor engineers on the Colombia team, owning their technical growth, code quality, and delivery.
• Set the engineering bar through rigorous code review, pairing, and reference implementations the rest of the team builds on.
• Serve as the first escalation point when engineers hit problems they cannot solve alone, teaching as you unblock.
• Build the habits, patterns, and practices that make every engineer on the team measurably better quarter over quarter.

• Drive architecture decisions across client builds: agentic workflows, RAG pipelines, document processing, and automation running in production.
• Evaluate new models, frameworks, and techniques as they emerge, and decide what enters Cadre's production toolkit.
• Turn hard-won lessons from client builds into reusable internal tooling, templates, and documentation that compound across engagements.

• Stay hands-on with Cadre's most complex client systems, owning delivery end to end from LLM orchestration and evaluation to data pipelines, APIs, and cloud infrastructure.
• Make pragmatic build decisions under real constraints: client timelines, legacy systems, messy data, and measurable business outcomes on the line.
• Ship fast without sacrificing reliability; design systems that keep working long after the engagement ends.

• Join client calls when the conversation needs technical depth, walking stakeholders through system designs, trade-offs, and progress.
• Translate ambiguous business problems into concrete system designs and delivery plans clients can commit to.
• Flag risks, trade-offs, and scope realities directly and early, protecting both the client outcome and the team's delivery.

• 8+ years of software engineering experience, including 2+ years building LLM-powered systems (RAG, agents, structured extraction) that run in production, not just prototypes or internal experiments.
• Demonstrated technical leadership: engineers you have mentored or managed got measurably better because of your code review, pairing, and guidance, and you want direct reports as part of your role.
• Expert-level Python and strong full-stack fundamentals, with the judgment to choose boring, reliable technology when the problem calls for it.
• Production cloud experience (AWS, GCP, or Azure), including deploying, monitoring, and maintaining systems that clients depend on daily.
• Deep working knowledge of the modern AI stack: prompt and context engineering, evaluation, embeddings, vector search, and agent orchestration frameworks.
• A track record of owning ambiguous, high-stakes projects end to end, from problem framing through architecture, build, and post-launch iteration.
• Fluent English and clear communication on client calls; you can explain an architecture decision to a non-technical executive without losing them.
• Consulting-environment adaptability: comfort switching between client contexts, industries, and codebases without losing momentum.
• Based in Colombia with reliable overlap with US business hours for client and team collaboration.
• An AI-first working style: you use these tools daily to multiply your own output and teach the team to do the same.

• Real leadership. You will be the technical backbone of a growing engineering team, with engineers who level up because of you and the autonomy to make the calls that matter.
• AI-native culture. We do not just build AI for clients. We use it to run our own operations. You will work with people who are as obsessed with the tools as you are.
• Access to the frontier. Through partnerships with Anthropic and OpenAI you will be among the first to experiment with new models and capabilities.
• Upside. We are bootstrapped, profitable, and growing fast. Early team members share in the success they help create.
• No bureaucracy. Small teams. Clear accountability. The best idea wins, regardless of who says it.