Is the Staff AI Engineers | Colombia position at Go Cadre fully remote?

Yes, this Staff AI Engineers | Colombia position at Go Cadre is fully remote and you can work from anywhere in the world.

Is this a full-time or part-time Staff AI Engineers | Colombia role?

This is a full-time Staff AI Engineers | Colombia position at Go Cadre.

What benefits does Go Cadre offer for this position?

Go Cadre offers the following benefits: Remote Work, Equity.

How do I apply for the Staff AI Engineers | Colombia position at Go Cadre?

You can apply for this Staff AI Engineers | Colombia position by clicking the "Apply Now" button on this page, which will take you to Go Cadre's application portal.

Staff AI Engineers | Colombia at Go Cadre

Worldwide

<h1><strong style="color: rgb(0, 0, 0); background-color: transparent;">Staff AI Engineer</strong></h1><div><strong style="color: rgb(219, 68, 68); background-color: transparent;">Engineer</strong></div><div><span style="color: rgb(109, 112, 145); background-color: transparent;">Colombia · Remote · Full-Time</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0); background-color: transparent;">About Cadre AI</strong></div><div><br></div><div><span style="color: rgb(42, 42, 42); background-color: transparent;">Cadre AI is an AI strategy and integration firm that builds production AI systems for B2B companies in private equity, wholesale lending, real estate, and SaaS. We do not build decks about what AI could do. We ship systems that move revenue, compress costs, and automate the work that used to take entire teams.</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0); background-color: transparent;">The Role</strong></div><div><br></div><div><span style="color: rgb(42, 42, 42); background-color: transparent;">As Staff AI Engineer, you are the technical leader and backbone of Cadre's Colombia engineering team. At this level, your job is no longer just what you build; it is making sure every engineer around you builds better. You mentor and manage engineers, set the standard for how the team designs, reviews, and ships AI systems, and own their growth as deliberately as you own your own code.</span></div><div><br></div><div><span style="color: rgb(42, 42, 42); background-color: transparent;">You pair that leadership with serious technical depth. You stay hands-on with the hardest builds in our client portfolio: multi-step agent systems, complex document processing pipelines, and automations that touch core revenue operations. When a problem has ambiguous requirements or no obvious solution, the team looks to you, and clients measure the result in EBITDA impact, not demos.</span></div><div><br></div><div><span style="color: rgb(42, 42, 42); background-color: transparent;">You report to the Head of Client Engineering, and you will occasionally join client calls to walk stakeholders through what we are building and why. You thrive here if leveling up the people around you energizes you as much as shipping the system yourself.</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0); background-color: transparent;">What You'll Do</strong></div><div><br></div><div><span style="color: rgb(42, 42, 42); background-color: transparent;">You are on the forefront of the technology, reimagining how Cadre does AI and delivering the high-value solutions that set us apart with clients.</span></div><div><br></div><div><strong style="color: rgb(219, 68, 68); background-color: transparent;">Team Leadership and Mentorship</strong></div><ul><li class=""><span style="background-color: transparent;">Manage and mentor engineers on the Colombia team, owning their technical growth, code quality, and delivery.</span></li><li class=""><span style="background-color: transparent;">Set the engineering bar through rigorous code review, pairing, and reference implementations the rest of the team builds on.</span></li><li class=""><span style="background-color: transparent;">Serve as the first escalation point when engineers hit problems they cannot solve alone, teaching as you unblock.</span></li><li class=""><span style="background-color: transparent;">Build the habits, patterns, and practices that make every engineer on the team measurably better quarter over quarter.</span></li></ul><div><strong style="color: rgb(219, 68, 68); background-color: transparent;">Technical Direction</strong></div><ul><li class=""><span style="background-color: transparent;">Drive architecture decisions across client builds: agentic workflows, RAG pipelines, document processing, and automation running in production.</span></li><li class=""><span style="background-color: transparent;">Evaluate new models, frameworks, and techniques as they emerge, and decide what enters Cadre's production toolkit.</span></li><li class=""><span style="background-color: transparent;">Turn hard-won lessons from client builds into reusable internal tooling, templates, and documentation that compound across engagements.</span></li></ul><div><strong style="color: rgb(219, 68, 68); background-color: transparent;">Build and Ship Production AI Systems</strong></div><ul><li class=""><span style="background-color: transparent;">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.</span></li><li class=""><span style="background-color: transparent;">Make pragmatic build decisions under real constraints: client timelines, legacy systems, messy data, and measurable business outcomes on the line.</span></li><li class=""><span style="background-color: transparent;">Ship fast without sacrificing reliability; design systems that keep working long after the engagement ends.</span></li></ul><div><strong style="color: rgb(219, 68, 68); background-color: transparent;">Client Collaboration</strong></div><ul><li class=""><span style="background-color: transparent;">Join client calls when the conversation needs technical depth, walking stakeholders through system designs, trade-offs, and progress.</span></li><li class=""><span style="background-color: transparent;">Translate ambiguous business problems into concrete system designs and delivery plans clients can commit to.</span></li><li class=""><span style="background-color: transparent;">Flag risks, trade-offs, and scope realities directly and early, protecting both the client outcome and the team's delivery.</span></li></ul><div><strong style="color: rgb(0, 0, 0); background-color: transparent;">What You Need to Succeed</strong></div><ul><li class=""><span style="background-color: transparent;">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.</span></li><li class=""><span style="background-color: transparent;">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.</span></li><li class=""><span style="background-color: transparent;">Expert-level Python and strong full-stack fundamentals, with the judgment to choose boring, reliable technology when the problem calls for it.</span></li><li class=""><span style="background-color: transparent;">Production cloud experience (AWS, GCP, or Azure), including deploying, monitoring, and maintaining systems that clients depend on daily.</span></li><li class=""><span style="background-color: transparent;">Deep working knowledge of the modern AI stack: prompt and context engineering, evaluation, embeddings, vector search, and agent orchestration frameworks.</span></li><li class=""><span style="background-color: transparent;">A track record of owning ambiguous, high-stakes projects end to end, from problem framing through architecture, build, and post-launch iteration.</span></li><li class=""><span style="background-color: transparent;">Fluent English and clear communication on client calls; you can explain an architecture decision to a non-technical executive without losing them.</span></li><li class=""><span style="background-color: transparent;">Consulting-environment adaptability: comfort switching between client contexts, industries, and codebases without losing momentum.</span></li><li class=""><span style="background-color: transparent;">Based in Colombia with reliable overlap with US business hours for client and team collaboration.</span></li><li class=""><span style="background-color: transparent;">An AI-first working style: you use these tools daily to multiply your own output and teach the team to do the same.</span></li></ul><div><strong style="color: rgb(0, 0, 0); background-color: transparent;">Why Cadre AI</strong></div><ul><li class=""><strong style="background-color: transparent;">Real leadership. </strong><span style="background-color: transparent; color: rgb(42, 42, 42);">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.</span></li><li class=""><strong style="background-color: transparent;">AI-native culture. </strong><span style="background-color: transparent; color: rgb(42, 42, 42);">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.</span></li><li class=""><strong style="background-color: transparent;">Access to the frontier. </strong><span style="background-color: transparent; color: rgb(42, 42, 42);">Through partnerships with Anthropic and OpenAI you will be among the first to experiment with new models and capabilities.</span></li><li class=""><strong style="background-color: transparent;">Upside. </strong><span style="background-color: transparent; color: rgb(42, 42, 42);">We are bootstrapped, profitable, and growing fast. Early team members share in the success they help create.</span></li><li class=""><strong style="background-color: transparent;">No bureaucracy. </strong><span style="background-color: transparent; color: rgb(42, 42, 42);">Small teams. Clear accountability. The best idea wins, regardless of who says it.</span></li></ul><div><br></div><div><span style="color: rgb(42, 42, 42); background-color: transparent;">If you want your next five years to be measured in systems running in production, businesses that work differently because you shipped, and a team of engineers who are better because you led them, this is that role.</span></div><div><br></div><div><br></div>

Apply Now

Remote Opportunity

Staff AI Engineers | Colombia

Join Go Cadre as a staff professional working remotely from Worldwide. Explore the role, benefits, and apply in one place.

Staff AI Engineers | Colombia

Go Cadre

Full Time

3 weeks ago

Staff AI Engineer Engineer Colombia · Remote · Full-Time About Cadre AI Cadre AI is an AI strategy and integration firm that builds production AI systems for B2B companies in private equity, wholesale lending, real estate, and SaaS. We do not build decks about what AI could do.

Worldwide

Staff

Python

LLM orchestration

RAG

+5 more

Job Description

Staff AI Engineer

Engineer

Colombia · Remote · Full-Time

About Cadre AI

Cadre AI is an AI strategy and integration firm that builds production AI systems for B2B companies in private equity, wholesale lending, real estate, and SaaS. We do not build decks about what AI could do. We ship systems that move revenue, compress costs, and automate the work that used to take entire teams.

The Role

As Staff AI Engineer, you are the technical leader and backbone of Cadre's Colombia engineering team. At this level, your job is no longer just what you build; it is making sure every engineer around you builds better. You mentor and manage engineers, set the standard for how the team designs, reviews, and ships AI systems, and own their growth as deliberately as you own your own code.

You pair that leadership with serious technical depth. You stay hands-on with the hardest builds in our client portfolio: multi-step agent systems, complex document processing pipelines, and automations that touch core revenue operations. When a problem has ambiguous requirements or no obvious solution, the team looks to you, and clients measure the result in EBITDA impact, not demos.

You report to the Head of Client Engineering, and you will occasionally join client calls to walk stakeholders through what we are building and why. You thrive here if leveling up the people around you energizes you as much as shipping the system yourself.

What You'll Do

You are on the forefront of the technology, reimagining how Cadre does AI and delivering the high-value solutions that set us apart with clients.

Team Leadership and Mentorship

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.

Technical Direction

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.

Build and Ship Production AI Systems

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.

Client Collaboration

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.

What You Need to Succeed

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.

Why Cadre AI

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.

If you want your next five years to be measured in systems running in production, businesses that work differently because you shipped, and a team of engineers who are better because you led them, this is that role.

Benefits

Remote Work
Equity

Skills

Python

LLM orchestration

RAG

Agentic Workflows

Cloud infrastructure

Technical Leadership

Mentorship

System architecture

Ready to Apply?

Join Go Cadre today

Posted 3 weeks ago

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