Founding AI Engineer (Agentic AI)
6y relevant experience
EU engineers, ready to place with your US clients
Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.
Executive Summary
Dr. The candidate is an outstanding technical candidate whose skills and experience significantly exceed the minimum requirements for this Founding AI Engineer role. With a PhD in Applied AI, 6+ years of LLM/GenAI specialization, and a portfolio spanning agentic AI, RAG, multimodal systems, and LLMOps across 20+ production deployments, they checks virtually every technical box. Their leadership background and research depth make them particularly well-suited for a founding role that requires both architectural vision and hands-on execution. The primary practical concerns are their France-based location (timezone mismatch with Boston operations) and the absence of a public code portfolio to independently verify engineering quality. These concerns are manageable but should be addressed directly in the interview process. Overall, this is a high-caliber candidate worth fast-tracking to a technical screen.
Top Strengths
- ✓PhD-level expertise in Applied AI with deep theoretical and practical foundations across LLMs, RAG, and agentic systems
- ✓Rare combination of hands-on engineering depth AND leadership experience (VP-level, 15–30 person teams) ideal for a founding role
- ✓Extensive production AI deployment experience across 20+ real-world systems in regulated industries
- ✓Multimodal AI experience (text, vision, speech) directly aligned with AlpacaRelay's content creation focus
- ✓Strong research credentials (10+ publications, PhD) combined with startup and product delivery track record
Key Concerns
- !France-based candidate applying for a Boston-based role — timezone overlap, visa/contract complexity, and async collaboration challenges need to be addressed upfront
- !No public code portfolio, GitHub presence, or open-source contributions — reduces ability to verify hands-on coding quality independently
Culture Fit
Growth Potential
High
Salary Estimate
$100,000 - $130,000+ USD (VP/Lead-level profile likely exceeds posted $80-120K range; European base may allow negotiation)
Assessment Reasoning
FIT decision is based on the candidate meeting or exceeding approximately 90%+ of required skills, with 15 years of total experience and 6+ years of directly relevant LLM/GenAI expertise well above the 2-year minimum. The PhD qualification matches the 'plus' criterion. Key required skills including Python, LangGraph, LangFuse, CrewAI, LlamaIndex, RAG, MCP, Docker, Kubernetes, AWS, GCP, PostgreSQL, and vector databases are all explicitly confirmed in the resume. The candidate's VP-level leadership and founding startup experience (Merousoft) align with the role's expectation for ownership, technical leadership, and company building. Deductions from a perfect score are primarily due to: (1) no code sample or GitHub profile to verify hands-on coding quality, (2) geographic location in France introducing operational complexity for a Boston startup, and (3) minor skill gaps in SciPy and LangSmith. None of these concerns are disqualifying — the candidate's overall profile is among the strongest possible for this role type.
Interview Focus Areas
Code Review
No code example or GitHub profile was provided, which limits direct assessment of code quality. Based on the resume's technical depth — including LLMOps pipelines, model fine-tuning, inference optimization, and production deployments — the candidate likely codes at a Senior to Principal level. However, the lack of any public code or portfolio is a notable gap for a founding engineer role where hands-on technical credibility is critical.
- +Resume demonstrates deep hands-on technical implementation across complex AI systems, implying strong coding capability
- +Described quantitative outcomes (40-65% accuracy improvements, 70% hallucination reduction) suggest rigorous engineering standards
- -No code sample was provided, making direct code quality assessment impossible
- -Absence of a GitHub profile prevents evaluation of coding style, open-source contributions, or project depth
Experience Overview
15y total · 6y relevantDr. The candidate is an exceptionally strong candidate with a PhD in Applied AI, 15+ years of software engineering experience, and 6+ years of focused LLM and generative AI expertise. Their skills map covers virtually every required technology in the job description, including production-grade agentic AI, RAG systems, multimodal models, LLMOps, and cloud infrastructure. The primary concern is geographic location in France, which introduces timezone challenges for a Boston-based startup expecting close collaboration.
Matching Skills
Skills to Verify