Software Craftsperson/Typescript- II

Remote TypeScript backend engineer role focused on building scalable systems and AI-powered applications using LLMs and agentic frameworks. You will take ownership across the full development lifecycle and collaborate cross-functionally.

• Own complex software initiatives end to end, from design and implementation through testing, production readiness, and ongoing improvement.
• Build and maintain scalable, reliable backend systems and APIs using TypeScript and strong software craftsmanship principles.
• Design and deliver production-ready features while balancing business scope, technical quality, performance, and long-term maintainability.
• Build AI-powered applications and workflows using LLMs, AI agents, agentic frameworks, and modern AI tooling.
• Work with technologies such as OpenAI, Claude, agentic frameworks, and AI skills/tooling to create reliable and useful AI experiences.
• Identify technical and product risks beyond the immediate scope of assigned work and proactively drive appropriate solutions.
• Contribute to engineering excellence through testing, code quality, refactoring, tooling, DevEx, and DORA-oriented practices.
• Collaborate closely with clients and internal stakeholders to clarify requirements, establish priorities, and align technical work with desired outcomes.
• Mentor and support fellow engineers, contributing to knowledge sharing, technical growth, and a strong learning culture.
• Apply AI-assisted and agentic development workflows to accelerate design, development, testing, and delivery where appropriate.
• Build and integrate browser-based experiences, including Chrome Extensions, when required by projects.
• Promote responsible and pragmatic engineering practices focused on quality, reliability, maintainability, and client success.

• 3-6 years of professional software engineering experience with a demonstrated track record of owning and delivering complex production systems.
• Strong hands-on experience developing production-grade applications using TypeScript.
• Practical experience developing AI- or LLM-powered applications, including AI agents and agentic workflows.
• Experience working with platforms and technologies such as OpenAI, Claude, or comparable LLM ecosystems.
• Experience with Mastra or similar LLM and agent orchestration frameworks.
• Experience building or integrating Chrome Extensions and other browser-based applications.
• Understanding of Responsible AI principles, including evaluation, reliability, safety, privacy, and appropriate handling of AI-generated outputs.
• Experience using AI skills and tooling to extend the capabilities of AI agents.
• Strong system-design capabilities, with the ability to develop scalable, maintainable, reliable, and observable systems.
• Strong engineering practices, including Test-Driven Development (TDD), CI/CD, code reviews, refactoring, and Agile or Extreme Programming practices.
• Good understanding of REST and/or gRPC APIs, relational databases, performance optimization, source control, and technical documentation.
• Strong problem-solving, ownership, communication, and collaboration skills.
• Ability to work effectively with clients and distributed teams while proactively identifying issues and driving them toward resolution.
• Python experience is a plus, particularly for production applications and AI/LLM systems.
• Familiarity with technologies such as LangChain, LlamaIndex, Agno, vector databases, AI evaluation or observability tools, Docker, Kubernetes, or Terraform is advantageous.
• Experience with React.js or other modern frontend frameworks is a plus.
• A continuous-learning mindset and genuine interest in software craftsmanship, AI-native development, and improving engineering practices.

• Fully remote, remote-first working environment with structured flexibility.
• Shared core hours that support effective collaboration while preserving individual autonomy.
• Twice-yearly in-person coworking sprints, with travel expenses covered.
• Annual company retreat with travel expenses covered.
• Dedicated learning and professional development budget.
• Conference talk sponsorship opportunities.
• Comprehensive medical and term insurance coverage.
• Employee-friendly leave policies.
• Home office fund to support an effective remote workspace.
• Collaborative engineering culture centered on pairing, refactoring, experimentation, continuous learning, and software excellence.
• Opportunities to work with modern AI technologies and influence AI-native development practices.