Full Stack AI Product Engineer – TypeScript, Azure

Job not on LinkedIn

🔥 21 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

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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Chiri

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Chiri is an AI managed service provider (MSP) that builds company-specific AI applications and agents on a shared platform called Chiri Brain. They embed small, senior pods of engineers and operators inside client teams to scope work, deliver MVPs, connect to existing software, and scale to enterprise production while retaining a persistent organizational memory (Ontology), integration layer (Sherpa), and security/validation layer (Glacier). Their offering emphasizes avoiding vendor lock-in to specific models by keeping context model-independent, delivering governance, permissions, auditability, and AI infrastructure. Chiri targets businesses seeking to move AI from pilots to production, providing ROI-based scoping, short time-to-MVP, and ongoing operational support with the Brain platform carrying the capability after the pod steps back.

📋 Description

• Design, develop, and maintain modern full-stack applications • Build scalable backend systems, APIs, integrations, and product capabilities primarily using TypeScript, with Python where appropriate • Develop performant and user-friendly frontend applications using modern web technologies • Build features and solutions for client platforms and Chiri's internal products • Design and build AI-powered applications, integrations, automations, and workflows using modern LLMs and AI models • Build and operate applications and services in Microsoft Azure • Define and manage cloud infrastructure using Terraform and infrastructure as code • Build and maintain automated CI/CD pipelines for application and infrastructure deployment • Integrate third-party platforms, APIs, enterprise applications, and business systems • Work with structured and unstructured data, including conversational data such as call transcripts • Translate business requirements into scalable technical solutions • Participate in architecture discussions and system design decisions • Collaborate with engineers, product stakeholders, and client teams • Optimize application performance, reliability, security, and maintainability • Write clean, maintainable, and well-tested code • Participate in code reviews and contribute to engineering best practices

🎯 Requirements

• 5+ years of professional software engineering experience • Strong production experience with TypeScript • Working professional experience with Python • Professional experience building backend services, APIs, integrations, and data workflows • Experience developing frontend applications using React, Next.js, or similar modern frameworks • Experience building production software incorporating LLMs, AI models, or AI-powered workflows • At least 1-2+ years of hands-on Microsoft Azure experience • Hands-on experience with Terraform or comparable infrastructure-as-code tooling • Experience with Docker and containerized application development • Strong understanding of software architecture, system design, and engineering best practices • Experience building and maintaining CI/CD pipelines and Git-based development workflows • Strong SQL and relational data fundamentals • Experience integrating external APIs and business applications into production systems • Experience owning features from design through deployment and ongoing support • Excellent written and verbal communication skills in English • Ability to work independently and collaborate effectively in a remote environment

🏖️ Benefits

• A fast-paced, fully remote environment with meaningful ownership • Access to cutting-edge AI tools, models, and internal playbooks • Direct collaboration with experienced engineers and company leadership • Opportunity to grow from feature ownership into broader technical and architectural responsibility • Culture that values curiosity, continuous learning, and pragmatic problem-solving

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