Full Stack Software Engineer - Data Platform

Posted Yesterday
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18 Locations
Remote
Senior level
Artificial Intelligence • Productivity • Software • Generative 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
Why Chiri

We help teams work smarter via the Chiri platform,leveraging our technology and playbooks by integrating AIinto the way work actually happens.Think of us as AI sherpas-guides who meet clients where they are,map the terrain, and help them reach the next ridge safely and sustainably.We partner with organizations to deploy AI in practical, secure, and scalable waysthat create measurable business impact.As a remote-first team, we move quickly, value ownership,and believe the best solutions come from curious people who enjoy solving hard problems together.



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 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.



Key Responsibilities

  • 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.


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 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.


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 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.

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.
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The Company
11 Employees
Year Founded: 2025

What We Do

Chiri is an AI orchestration platform that helps companies multiply their output by building intelligent workflows alongside their teams. Positioning themselves as 'AI Sherpas,' Chiri utilizes a system-led approach to combine human expertise with AI agents. By automating repetitive, rules-based work, Chiri enables employees to focus on high-value strategy and creativity while ensuring all AI actions remain governed, auditable, and traceable.

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