We are looking for a
Senior Full Stack AI Engineer
with a strong AI-first mindset to help accelerate the development of a fast-growing product.
This is a hands-on role for an engineer who can transform complex business requirements into secure, tested, scalable, production-ready software.
The idóneo candidate combines strong
Full Stack development skills with meaningful hands-on experience using Claude/Anthropic and modern AI/LLM technologies
, as well as practical knowledge of Azure, DevOps, and secure software development.
Location: LATAM – 100% Remote
Schedule: Monday to Friday, 8:00 AM – 5:00 PM CST
Workload: 40 hours per week
Experience: 4+ years of professional software engineering experience; senior profiles with 5–6+ years are highly valued
Requirements
4+ years of professional software engineering experience
with a strong Full Stack background; 5–6+ years and senior-level ownership are highly valued.
Demonstrable hands-on experience with
Anthropic / Claude
, ideally building solutions from scratch through production deployment.
Experience developing
AI/LLM applications, AI agents, agent harnesses, or AI-powered workflows
.
Practical experience with
Azure
, cloud deployments, and application infrastructure.
Knowledge of
DevOps, CI/CD, and deployment workflows
.
Strong testing and QA mindset, including the ability to validate code, specifications, and AI-generated artifacts.
Knowledge of




application and data security best practices
.
Advanced English
with strong communication and collaboration skills.
Self-directed, accountable, and comfortable working remotely in a fast-paced environment.
Nice to Have
Experience with
FinTech, SaaS, regulated or security-sensitive products
, product-led development teams, OpenAI and other LLM tools/frameworks, and scaling early-stage or rapidly growing products.
Key Responsibilities
Build AI-powered features using
Claude and Anthropic tools
, including AI agents, agent harnesses, and LLM workflows.
Develop, integrate, test, and optimize AI/LLM solutions from initial design through production deployment.
Translate product and business requirements into technical solutions and implementation plans.
Own software quality through testing, debugging, code validation, and review of AI-generated code and specifications.
Build and maintain cloud infrastructure and deployment workflows in
Azure
, applying solid
DevOps and CI/CD practices
.
Develop solutions with
security, data protection, scalability, and maintainability
in mind.
Collaborate directly with the CTO, product owners, and other stakeholders, clearly communicating technical decisions, progress, and tradeoffs.
Contribute to architecture decisions, engineering standards, and continuous technical improvements.
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📌 1933 - Senior Full Stack Ai Engineer (Bogotá)
🏢 Zohorecruit
📍 Bogotá