Software Craftsperson/Typescript- II

Jobgether SRL

France

Remote

EUR 65,000 - 90,000

Full time

24 hours ago
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Benefits offered by this job

Fully remote
Core hours for collaboration
In-person sprints (travel covered)
Annual company retreat
Learning and development budget
Conference sponsorship
Medical and term insurance
Home office fund
Collaborative engineering culture
AI-native development opportunities

Job summary

Jobgether is seeking a Software Craftsperson specializing in TypeScript for a remote role based in France. You will own complex software initiatives end-to-end, design scalable backends, and build AI-powered workflows using LLMs and agentic frameworks.

You will mentor peers, apply TDD and CI/CD practices, work with OpenAI/Claude ecosystems, and help teams adopt AI-native development responsibly across browser-based experiences such as Chrome Extensions.

Qualifications

  • 3-6 years of professional software engineering experience owning complex production systems.
  • Strong hands-on TypeScript development for production-grade apps.
  • Experience building AI- or LLM-powered applications with agents and agentic workflows.
  • Familiar with OpenAI/Claude ecosystems and related tooling.
  • Experience with modern web/browser tech and Chrome Extensions is a plus.
  • Strong engineering practices: TDD, CI/CD, code reviews, refactoring, Agile/XP.

Responsibilities

  • Own complex software initiatives end to end from design to production readiness.
  • Build scalable backends and APIs using TypeScript and craftsmanship principles.
  • Deliver production-ready features balancing scope, quality, and performance.
  • Develop AI-powered apps and workflows using LLMs and agentic frameworks.
  • Collaborate with clients and distributed teams to clarify requirements and priorities.
  • Mentor engineers and promote knowledge sharing and learning culture.

Skills

TypeScript development
AI/LLM experience
REST/gRPC
TDD/CI/CD
Agile/XP
Ownership
Communication
React.js
Distributed teams
Problem solving

Tools

OpenAI
Claude
Mastra
Chrome Extensions
Docker
Kubernetes
Terraform
LangChain
LlamaIndex
vector databases
AI evaluation tools

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 France. 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- 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.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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