Chiri is an AI managed service provider for company-specific AI.
The Role
Backend-focused full-stack engineer building scalable, data-driven applications, APIs, integrations, and data pipelines. Work includes cloud-hosted services, containerized deployments, frontend work with modern frameworks, and contributing to AI-powered features, architecture, and cross-team delivery.
Summary Generated by Built In
About Chiri
Chiri collapses fragmented software into one governed operating layer for mid-sized businesses: companies with valuable workflows and real urgency, but no internal AI organization to take a use case to production.We combine our platform with forward-deployed expertise to connect customers' existing systems, build what they need, and operate it in production.Increasingly, buyers are asking ChatGPT, Perplexity, Gemini, Claude, and other AI systems what they should use. Chiri must be one of their top answers.
Role Overview
Key Responsibilities
Required Skills and Experience
Preferred Qualifications
What We Offer
Our SCOUT Values
Our values are not wall art. They describe how we expect people to operate.
Seek to Understand
Call It Out
Ownership Mentality
Use Human Judgment
Talk with Precision
Role Overview
We're looking for a Full Stack Software Engineer based in South or Central America to help design, build, and scale software solutions for both Chiri and our clients.
This role is primarily backend-focused (approximately 80% backend / 20% frontend) and is ideal for an engineer who enjoys building products end-to-end, from APIs and integrations to user-facing experiences. You'll work on a combination of client platforms, internal products, AI-powered solutions, and business automation initiatives that drive measurable outcomes.
Our engineers don't just build features - they help solve business problems. Strong candidates can clearly articulate the impact of their work, whether that's improving operational efficiency, reducing manual effort, increasing revenue opportunities, or improving customer experiences.
You'll start by learning Chiri's engineering patterns, frameworks, and platform components, then progressively take ownership of larger features, systems, and technical initiatives as you grow within the team.
- Design, develop, and maintain modern, data-driven full-stack applications.
- Build and optimize scalable backend systems, complex data models, and performant APIs using Python and TypeScript.
- Implement efficient data pipelines and integration strategies to manage, transform, and flow data effectively across internal and client-facing systems.
- Develop performant and user-friendly frontend applications using modern web technologies.
- Build features and solutions for both client platforms and Chiri's internal products.
- Contribute to AI-powered applications, integrations, automations, and platform capabilities.
- Translate business requirements into scalable technical solutions.
- Participate in architecture discussions and contribute to system design decisions.
- Collaborate with engineers, product stakeholders, and client teams to deliver high-quality solutions.
- Optimize application performance, reliability, and maintainability.
- Write clean, maintainable, and well-tested code.
- Participate in code reviews and contribute to engineering best practices.
- 5+ years of professional software engineering experience.
- Strong experience with Python and/or TypeScript in production environments.
- Professional experience building backend services, APIs, and complex data-driven integrations.
- Strong proficiency in database design, data modeling, and performance optimization for relational and NoSQL systems.
- Exposure to modern frontend frameworks such as React or Next.js.
- Experience working with cloud platforms, preferably AWS.
- Experience with Docker and containerized application development.
- Strong understanding of software architecture, system design, and engineering best practices.
- Experience owning features from design through deployment and ongoing support.
- Strong problem-solving and analytical skills.
- Excellent written and verbal communication skills in English.
- Ability to work independently and collaborate effectively in a remote environment.
- Strong Python experience, particularly in backend systems and integrations.
- Experience building SaaS products or customer-facing software platforms.
- Experience working in startup or high-growth environments.
- Experience architecting, maintaining, and optimizing data storage solutions using PostgreSQL, MongoDB, Redis, or similar databases.
- Experience with data engineering concepts, such as ETL workflows, data warehousing, or processing high-volume data streams.
- Experience integrating, mapping, and transforming data from disparate systems to drive business insights and automation.
- Experience integrating third-party systems, APIs, and business applications.
- Exposure to AI-powered applications, LLMs, automation workflows, or agent-based systems.
- Experience participating in customer meetings, requirements gathering, or solution design discussions.
- Demonstrated examples of delivering measurable business outcomes through technology.
- Experience mentoring engineers or contributing to technical decision-making.
What We Offer
- A fast-paced, fully remote environment with meaningful ownership.
- The opportunity to help define what “enterprise-ready AI” actually means.
- Access to cutting-edge AI tools, models, and internal playbooks.
- The chance to help clients achieve tangible outcomes - like 50% faster workflows - without compromising governance or trust.
- Direct collaboration with experienced engineers and company leadership.
- The opportunity to grow from feature ownership into broader technical and architectural responsibility.
- A culture that values curiosity, continuous learning, and pragmatic problem-solving.
Please note this is location specified for LatAm based candidates.
Our SCOUT Values
Assume you might be wrong. Clarity before action.
See something, say something. Say the hard thing.
"That's not my job" does not exist.
Judgment, context, and care come from us. AI is a tool.
Concise. Intentional.
Skills Required
- 5+ years of professional software engineering experience.
- Strong experience with Python and/or TypeScript in production environments.
- Professional experience building backend services, APIs, and complex data-driven integrations.
- Strong proficiency in database design, data modeling, and performance optimization for relational and NoSQL systems.
- Exposure to modern frontend frameworks such as React or Next.js.
- Experience working with cloud platforms, preferably AWS.
- Experience with Docker and containerized application development.
- Strong understanding of software architecture, system design, and engineering best practices.
- Experience owning features from design through deployment and ongoing support.
- Strong problem-solving and analytical skills.
- Excellent written and verbal communication skills in English.
- Ability to work independently and collaborate effectively in a remote environment.
- Strong Python experience, particularly in backend systems and integrations.
- Experience building SaaS products or customer-facing software platforms.
- Experience working in startup or high-growth environments.
- Experience architecting, maintaining, and optimizing data storage solutions using PostgreSQL, MongoDB, Redis, or similar databases.
- Experience with data engineering concepts, such as ETL workflows, data warehousing, or processing high-volume data streams.
- Experience integrating, mapping, and transforming data from disparate systems to drive business insights and automation.
- Experience integrating third-party systems, APIs, and business applications.
- Exposure to AI-powered applications, LLMs, automation workflows, or agent-based systems.
- Experience participating in customer meetings, requirements gathering, or solution design discussions.
- Demonstrated examples of delivering measurable business outcomes through technology.
- Experience mentoring engineers or contributing to technical decision-making.
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
We turn business problems into governed applications, agents, and targeted software. Our forward-deployed pods combine senior operators and engineers. Each pod embeds with client teams, learns how work happens, and ships production systems within weeks. Chiri supports AI adoption, AI optimization, and AI software engineering. We assess workflows, design operating models, and deploy digital workers into existing tools. We also audit scattered AI systems, add governance, consolidate systems, and measure return on investment. Chiri Brain provides the shared foundation for every deployment. Its ontology preserves company knowledge and operating context. Sherpa connects current applications and provides broad AI model access. Glacier applies security, permissions, validation, and audit controls. Client data remains client-owned. Each Statement of Work defines the custom deliverables and related terms. Chiri supports work across go-to-market, engineering, finance, and people operations. Our systems work inside tools such as Slack, HubSpot, Gmail, Teams, Salesforce, Jira, and Zendesk. We build from a first production application through enterprise scale. Chiri Brain remains after the pod steps back. This model gives companies lasting AI capability without requiring a separate internal AI company.
Why Work With Us
We value curiosity, ownership, speed, and people who love solving complex problems with simple solutions. If you’re excited about building a meaningful company, working with highly talented people, and making a real impact from day one, we’d love to meet you.
