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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in AI and ML engineering, with a strong focus on model fine-tuning, evaluation, and production deployment. Proven ability to lead technical teams, set engineering standards, and communicate complex AI concepts effectively to diverse audiences.
Highest-signal resume keywords
AI Engineering LeadershipLLM Fine-TuningProduction AI Systems OptimizationPython ProgrammingBilingual in French and English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning EngineeringAI Model EvaluationOn-Device Model DeploymentRegression TestingData CurationMLOps StandardsSoftware Engineering FundamentalsCost OptimizationLatency MonitoringQuality Assurance
Soft Skills
Technical MentorshipTeam CollaborationCuriosity for AI LandscapeStrong Sense of PrioritiesNatural Rigor
Tools & Technologies
PythonTypeScriptAI PipelinesEvaluation HarnessesGolden Sets
Industry Keywords
AI RoadmapArchitecture DecisionsProprietary Language ModelsEvidence-Based DecisionsAI Trade-Offs
Tech Stack
Tools & technologiesPythonTypeScript
About the role
Key responsibilities & impact- Set and prioritize Mendo’s AI roadmap with product and engineering leadership
- Make build/buy, architecture, model, cost, latency, and quality decisions
- Turn new AI use cases into prototypes and evidence-based decisions
- Explain AI trade-offs to non-technical colleagues
- Define evaluation and MLOps standards across squads
- Review AI work shipped across the product
- Keep models, prompts, and pipelines current as tooling and APIs evolve
- Train, fine-tune, and evaluate proprietary language models, including on-device small language models
- Curate and maintain datasets, golden sets, and evaluation harnesses
- Own production AI feature health and debug incidents end to end
- Mentor the existing AI engineer and support engineers working on AI topics
- Help hire future AI profiles
- Document technical decisions and implementations
- Report directly to Arjun and shape the AI practice and roadmap
Requirements
What you’ll need- 6+ years in ML / AI engineering
- AI models or features shipped and operated at scale in production
- Proven technical leadership, including setting engineering standards, making architecture decisions, and mentoring engineers
- Hands-on experience with LLM fine-tuning, RAG, embeddings, and their evaluation
- Experience with golden sets, LLM-as-judge, and regression tests
- Experience monitoring and optimizing AI systems in production for cost, latency, and quality
- Solid software engineering fundamentals, including tests, CI, and observability
- Comfortable with Python and able to work across a TypeScript product codebase
- Excellent command of French and English, both technical and professional
- Experience with small language models and on-device / on-prem model deployment is a strong plus
- Natural rigor and a feel for evaluation-driven development
- Curiosity for the fast-moving AI landscape without chasing hype
- Strong team spirit and sense of priorities
- Alignment with Mendo's values: Learning, Innovation, Excellence, Kindness, Transparency
Benefits
Comp & perks- 12% target variable
- BSPCE (equity) under the Series A policy
- Hybrid model with 2 days on-site and 3 days remote
- Path to building and leading an AI team
- Learning environment with a team passionate about new technologies and generative AI
- Young, supportive culture where everyone helps each other
- Meaningful mission helping make AI accessible and impactful for everyone
