Hands-on Senior Software Engineer (3–6 years) to design, build, and maintain scalable TypeScript systems with AI/MLM integrations. Own end-to-end development lifecycle, mentor teams, and drive AI-native workflows responsibly. Fully remote role focused on craftsmanship, collaboration, and modern engineering practices.
Key Highlights
End-to-end ownership of complex software initiatives with TypeScript, AI/MLM, and agentic workflows
Hands-on system design, production-grade implementation, and responsible AI integration
Mentorship, engineering excellence, and adoption of AI-native development practices
Key Responsibilities
Design and implement scalable, production-grade systems using TypeScript and software craftsmanship principles
Build AI-powered applications and agentic workflows with LLMs (e.g., OpenAI, Claude) and frameworks like Mastra
Collaborate with stakeholders to clarify requirements, prioritize work, and drive technical solutions for complex initiatives
Mentor peers, contribute to engineering excellence, and promote responsible AI practices (e.g., reliability, safety, privacy)
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Technical Skills Required
TypeScript
AI/MLM and Agentic Workflows
System Design & Scalable Backend Systems
Benefits & Perks
Fully remote with structured flexibility and shared core hours
Twice-yearly in-person coworking sprints with travel expenses covered
Comprehensive medical and term insurance coverage
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Nice to Have
Python (especially for AI/MLM systems)
LangChain, LlamaIndex, or Agno for AI tooling
React.js or other modern frontend frameworks
Experience with Docker, Kubernetes, Terraform, or vector databases
Job Description
This is a remote opportunity for a hands-on software engineer with 3–6 years of experience building scalable, production-grade systems. You’ll take ownership across the software development lifecycle, from system design and implementation through testing and production readiness. The role combines strong TypeScript engineering with modern AI and LLM technologies, including agentic workflows and AI-powered applications. You’ll work on complex, cross-functional initiatives while applying software craftsmanship, Extreme Programming, and modern engineering practices. The environment encourages technical ownership, continuous learning, proactive collaboration, and pragmatic delivery. You’ll also have opportunities to shape engineering practices, mentor peers, and help teams adopt AI-native development workflows responsibly.
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