Première détection par notre source: il y a 27 jours
AI Software Engineer (MCP Development / AI R&D)
@ Careerflow.ai
Télétravail au Canada
En bref
Careerflow.ai is hiring a contract AI Software Engineer to work with a leading frontier LLM lab on its Agentic Data Cloud roadmap. The role builds and maintains MCP tools, improves AI-assisted developer workflows, and supports product R&D on a high-fidelity data application. Contract is 40 hours per week, 6 months with possible extension, fully remote, with a 6-hour overlap with PST.
Responsabilités :
- Build and enhance MCP tools for managed and open-source environments
- Expand test coverage for tools used by AI coding assistants
- Refactor and maintain the MCP Toolbox for Databases codebase
- Convert technical blogs into production-ready sample code and documentation
- Develop data applications with QueryData to support R&D
Résumé des exigences :
- Experience building and enhancing MCP tools
- Experience expanding test coverage and maintaining test frameworks
- Ability to convert technical blogs into production-ready code and documentation
- Experience developing real-world data applications
- Nice to have: GitHub open-source contributions and advanced SQL expertise
Outils et compétences
Source et dates
Type de source non vérifié · dover
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-14
- Mise à jour du dossier source
- 2026-10-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Développement logiciel |
| Heures par semaine | 40 |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Careerflow.ai
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Introducing an AI Career Copilot
Description complète de l’entreprise
Landing your dream job just got easier. Simplify your career with our all-in-one career copilot platform.
- Abonnés LinkedIn
- 190 989
- Personnes associées sur LinkedIn
- 64
- Bureaux déclarés
- San Francisco, California 94105, US
- Catégories d’activité
- Human Resources
- Consumer Software
- Employment
- Recruiting
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Careerflow.ai
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 800 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Landing your dream job just got easier. Simplify your career with our all-in-one career copilot platform.
| Champ | Valeur |
|---|---|
| Secteur | Technology, Information and Internet |
| Taille | 11-50 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2022 |
| Offres sur Jobsy | 10 |
| Voir la page |
We are looking for Software Engineers to work with a leading Frontier LLM Lab to help accelerate their Agentic Data Cloud roadmap by building and scaling tools for next-generation AI-powered data systems. You will work on developing MCP tools, improving AI-assisted developer workflows, and expanding platform capabilities across the Data Cloud ecosystem.
What does day-to-day life look like?
MCP Tool Development: Implement a variety of MCP tools for both managed MCP servers and the open-source MCP Toolbox for Databases.
Agentic Integration: Expand test coverage and functionality for tools and skills utilized by leading agentic coding assistants (e.g., Gemini CLI, Claude Code, and other IDE-integrated agents).
Code Maintenance & Refactoring: Take ownership of the MCP Toolbox for Databases codebase, focusing on refactoring legacy components and maintaining high-quality test suites.
Technical Documentation: Bridge the gap between engineering and community adoption by converting technical blog posts into functional toolbox sample code and comprehensive documentation.
R&D Support: Build and maintain a realistic, high-fidelity data application using QueryData. Use this environment as a primary testbed to support ongoing Product R&D, with a specific focus on advancing the Context Engineering Agent.
Requirements
Build and enhance MCP tools for both proprietary and open-source environments
Expand test coverage for tools used by AI coding assistants (e.g., Gemini CLI, Claude Code)
Refactor, maintain, and improve existing test frameworks and codebases
Convert technical blogs into production-ready sample code and documentation
Develop real-world data applications (e.g., using QueryData) to support product R&D and experimentation
Collaborate with cross-functional teams to accelerate adoption of agentic AI capabilities
Nice to have
Experience contributing to open-source projects on GitHub (at least some team members expected)
Advanced SQL expertise (preferred for some team members)
Perks of Freelancing with our client:
Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading LLM companies.
Potential for contract extension based on performance and project needs.
Offer Details:
Commitments Required : 40 hours per week with overlap of 6 hours with PST
Engagement type : Contractor (no medical/paid leave)
Duration of contract : 6 months with opportunity to extend; [expected start date is 1st week of Jun-2026]
Location: North America and LATAM
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.