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
We're looking for a Full Stack Software Engineer to help design, build, and scale software solutions for both Chiri and our clients.
This role is primarily backend-focused (approximately 70% backend / 30% 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.
Key Responsibilities
- Design, develop, and maintain modern full-stack applications.
- Build scalable backend systems, APIs, and integrations using Python and TypeScript.
- 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.
Required Skills and Experience
- 5+ years of professional software engineering experience.
- Strong experience with Python and/or TypeScript in production environments.
- Professional experience building backend services, APIs, and integrations.
- Experience developing frontend applications using React, Next.js, or similar modern frameworks.
- 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.
Preferred Qualifications
- 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 with PostgreSQL, MongoDB, Redis, or similar databases.
- 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.