FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining production-grade SaaS applications, integrating AI capabilities, and deploying applications in on-premise environments. Proficient in modern web stacks and agile engineering practices to deliver user-focused solutions rapidly.
Highest-signal resume keywords
SaaS Application DevelopmentAI IntegrationOn-Premise DeploymentModern Web StacksProduct Mindset
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData ScienceAI EngineeringML EngineeringFull-Stack DevelopmentTypeScriptReactPythonFastAPIPostgreSQL
Soft Skills
User CommunicationPrototypingIterative Development
Tools & Technologies
DockerLinuxCI/CDLLM WorkflowsAutonomous Agents
Industry Keywords
VersioningTestingMonitoringSecurityData Confidentiality
Tech Stack
Tools & technologiesDockerJavaScriptLinuxNode.jsPostgresPythonReactTypeScript
About the role
Key responsibilities & impact- Design, build, and maintain internal tools and dashboards used across the company (operations, recruiting, finance, engineering coordination).
- Integrate AI capabilities (LLM workflows, autonomous agents, retrieval systems) into these tools to automate and augment company processes.
- Deploy and operate applications on-premise, ensuring reliability, security, and data confidentiality.
- Work in tight iteration loops with the CEO and management team: gather needs, prototype quickly, refine based on real usage.
- Establish lightweight engineering practices (versioning, testing, monitoring) appropriate for fast-moving internal products.
Requirements
What you’ll need- Previous experience as a Software Engineer, Data Scientist, AI Engineer, ML Engineer, or Full-Stack Developer.
- Proven experience building and shipping production-grade SaaS applications end to end (frontend, backend, database, deployment) — a strong portfolio or shipped product matters more than years of experience.
- Proficiency in modern web stacks (e.g., TypeScript/React, Python/FastAPI or Node.js, PostgreSQL).
- Hands-on experience integrating LLMs and AI APIs into applications; familiarity with agentic frameworks and tool-calling patterns is a strong plus.
- Ability to deploy and maintain applications on-premise or in self-hosted environments (Docker, Linux, CI/CD); comfort with security and access-control basics.
- Product mindset: you talk to users, scope pragmatically, and ship in days, not quarters.
- Language: English at a proficient level. French is a plus.
Benefits
Comp & perks- Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
- Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
- Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
- Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
- Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
- Reimbursement of 50% of the public transport subscription fee.
- A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
