Software Craftsperson/Typescript- II

Jobgether SRL; España; Remote; EUR 85,000 - 135,000; Full time

Benefits offered by this job

Fully remote

Learning budget

Travel sprints covered

Annual retreat

Medical insurance

Remote-first culture

Job summary

Jobgether SRL is seeking a Software Craftsperson/Typescript-II in Spain for remote, hands-on software engineering. You’ll own end-to-end delivery, design scalable backends, and build AI-powered workflows using LLMs and agentic tools.

You’ll work with modern AI tech, mentorship, and robust engineering practices in a collaborative, remote-first environment. Strong TypeScript, TDD, and distributed teamwork are essential.

Qualifications

• 3–6 years of professional software engineering experience with ownership of complex systems.
• Hands-on experience building production-grade applications with TypeScript.
• Experience with AI-oriented or LLM-powered applications and agents.

Responsibilities

• Own complex software initiatives end to end from design to production readiness.
• Build scalable backend APIs using TypeScript with strong craftsmanship.
• Design AI-powered features using LLMs and agentic workflows.
• Collaborate with clients and distributed teams to clarify requirements and priorities.
• Mentor engineers and promote AI-native development practices.

Skills

TypeScript

AI/LLM

System design

TDD

CI/CD

Agile/XP

REST/gRPC

Problem solving

Tools

OpenAI

Claude

LangChain

LlamaIndex

Docker

Kubernetes

Terraform

React.js

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Craftsperson/Typescript- II based in Spain.

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.

Accountabilities

• 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.

Requirements

• 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-oriented 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.

Benefits

• 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.