Founding AI Engineer (Agentic AI)
7y relevant experience
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Executive Summary
The candidate is a highly credentialed and deeply experienced Agentic AI engineer whose profile closely matches what AlpacaRelay is seeking in a founding AI engineer. With 16 years of engineering experience, production agentic AI systems delivered at JPMorgan Chase, an active consulting practice building LangGraph/CrewAI platforms, and an MSc in AI with original research, they far exceeds the minimum bar and brings exactly the ownership and breadth the role demands. Their primary risks are geographic (UK-based for a US startup), the absence of a public code portfolio for independent verification, and a potential salary expectation that may exceed the posted range. Subject to a strong technical screen confirming code quality and startup adaptability, they are a strong FIT for this role.
Top Strengths
- ✓Exceptional depth in agentic AI — LangGraph, CrewAI, multi-agent orchestration, tool calling — directly matching the core of this role
- ✓Proven founding/lead engineer mindset with full-stack ownership from architecture through production deployment at enterprise scale
- ✓Multi-cloud fluency (Azure, AWS, GCP) with Kubernetes, CI/CD, and MLOps/LLMOps at production scale in regulated industries
- ✓Academic rigor (MSc AI, 4 patents, peer-reviewed research) combined with deep hands-on commercial delivery — rare combination
- ✓Leadership and mentoring experience well-suited to a founding engineer role expected to grow into technical leadership
Key Concerns
- !UK-based candidate for a Boston-founded company on a B2B contract basis — timezone, legal/tax structure, and cultural alignment with a US early-stage startup need to be confirmed
- !No public code portfolio (GitHub, open-source) makes it difficult to validate self-reported coding proficiency independently; a technical interview with live coding or take-home task is essential
Culture Fit
Growth Potential
High
Salary Estimate
$120K–$160K USD equivalent (senior-level, 16 years experience; may negotiate upward given consulting day rates and UK cost-of-living context — could be a point of negotiation against the $80–$120K listed range)
Assessment Reasoning
The candidate meets or exceeds requirements across the vast majority of the job's stated criteria: 16 years of software engineering experience (vs. the 2-year minimum), direct production experience with LangGraph, CrewAI, multi-agent orchestration, RAG, LLM fine-tuning, multi-cloud deployment, and LLMOps — all core to this role. They have built and shipped AI-powered products in regulated enterprise environments and is currently leading agentic AI consulting engagements, which mirrors the founding engineer mandate. They satisfies roughly 85–90% of the required skill set, with minor gaps in LangSmith, LangFuse, and LlamaIndex that are learnable given their overall stack depth. The absence of a public GitHub and the salary range tension are the main uncertainties, but neither constitutes a disqualifying red flag. FIT decision is warranted with a strong technical interview recommended to validate code quality and cultural alignment with an early-stage US startup.
Interview Focus Areas
Experience Overview
16y total · 7y relevantThe candidate is a highly experienced senior AI engineer with 16 years total and roughly 7 years of directly relevant AI/ML and GenAI experience, including production agentic AI systems at JPMorgan Chase and ongoing consulting work. Their skill coverage against the job's required stack is broad and deep, hitting nearly all major categories. The primary gaps are specific observability tools (LangSmith, LangFuse) and LlamaIndex, which are learnable given their demonstrated mastery of comparable frameworks.
Matching Skills
Skills to Verify