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
The candidate is a highly experienced Senior AI Engineer whose technical profile aligns exceptionally well with the core requirements of this founding AI engineering role. Their 10-year career trajectory culminating in production-grade LLM applications, agentic workflows, RAG systems, and AI observability at EPAM Systems and Upside demonstrates genuine depth in exactly the tools and architectures AlpacaRelay is building with. The primary risk factor is the absence of demonstrated multimodal AI experience — a critical capability given AlpacaRelay's focus on text and image generation products. Additionally, their background is enterprise-heavy, and their fit for an early-stage startup culture with high ambiguity and fast iteration cycles should be assessed directly. Subject to a strong technical interview and confirmation of multimodal capability, the candidate represents a strong candidate for this role.
Top Strengths
- ✓Exceptionally deep alignment with the core agentic AI stack (LangGraph, LangSmith, LangFuse, LlamaIndex, OpenAI, Anthropic)
- ✓10 years of engineering experience with 6+ years in production AI systems — well above role requirements
- ✓Demonstrated ability to own full AI product lifecycle from prototyping through production monitoring
- ✓Enterprise-level experience with evaluation frameworks, AI observability, and RAG pipeline optimization
- ✓Leadership and mentorship experience appropriate for a founding engineer role at an early-stage company
Key Concerns
- !No demonstrated multimodal AI experience (image/vision generation), which is a core product focus for AlpacaRelay's content creation platform
- !Complete absence of verifiable public technical artifacts (GitHub, open-source, blog) makes independent technical validation difficult
Culture Fit
Growth Potential
High
Salary Estimate
$90,000 - $120,000
Assessment Reasoning
The candidate is assessed as FIT based on an overall score of 82. They meets or exceeds approximately 80-85% of the required skills, with direct hands-on production experience in the most critical areas of the role: LangGraph, LangSmith, LangFuse, LlamaIndex, OpenAI APIs, Anthropic APIs, RAG architectures, evaluation frameworks, vector databases, Python, Docker, Kubernetes, and cloud infrastructure. Their 10 years of total experience and 6+ years specifically in AI engineering significantly exceed the 2-year minimum. The FIT decision is made with moderate confidence (78) rather than high confidence due to three unresolved gaps: (1) no demonstrated multimodal AI experience despite it being central to AlpacaRelay's content creation product, (2) no verifiable public code artifacts to independently confirm technical quality, and (3) uncertainty around startup culture fit given their enterprise background. These gaps are not disqualifying but warrant targeted probing in the interview process before a final hire decision is made.
Interview Focus Areas
Code Review
No code example or GitHub profile was submitted with this application, which significantly limits the ability to assess hands-on coding quality. The score reflects a neutral-to-low rating due to lack of evidence rather than evidence of poor quality. A technical interview or take-home challenge is strongly recommended to validate coding ability before advancing.
- +Resume descriptions suggest strong architectural thinking and production-grade system design experience
- +Consistent use of modern Python-based AI stacks across multiple employers indicates practical coding fluency
- -No code sample provided, making it impossible to directly assess code quality, style, or problem-solving approach
- -Absence of GitHub profile eliminates the ability to review open-source contributions or personal projects
Experience Overview
10y total · 6y relevantThe candidate presents a highly compelling profile for this role, with 10 years of total engineering experience and 6+ years specifically in AI/ML systems including LLM applications, agent frameworks, and RAG architectures. Their skill alignment with the core required stack — LangGraph, LangSmith, LangFuse, LlamaIndex, OpenAI, Anthropic — is exceptional. The primary gap is around multimodal AI (image/vision), which is directly relevant to AlpacaRelay's content creation product focus.
Matching Skills
Skills to Verify