Founding AI Engineer (Agentic AI)
5y 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 senior backend and AI engineer with 8 years of experience, approximately 5 of which are directly relevant to the agentic AI requirements of this role. They demonstrate strong technical alignment with the core of the job description — multi-agent LangGraph pipelines, vector databases, cloud deployments, and production AI systems — and their founder experience at Edvenity signals the ownership mentality AlpacaRelay is seeking. However, the absence of a verifiable online footprint (no GitHub, no open-source work, inaccessible LinkedIn) and gaps in specific required tools (LangSmith, LangFuse, LlamaIndex, Anthropic, MCP) prevent a high-confidence fit decision. A future-dated resume entry also warrants a direct conversation. Overall, the candidate is a promising candidate worth advancing to a technical screen with specific focus on verifying depth of AI engineering experience and closing the tool familiarity gaps.
Top Strengths
- ✓Proven multi-agent AI system builder with real LangGraph production experience
- ✓Founder and lead engineer background demonstrating strong ownership and end-to-end delivery capability
- ✓Broad full-stack and cloud-native engineering depth across AWS, GCP, Azure, Docker, and Kubernetes
- ✓Experience building AI products with real users in hiring, healthcare, and computer vision domains
- ✓Strong backend engineering fundamentals with FastAPI, PostgreSQL, Redis, and event-driven architectures
Key Concerns
- !Absence of verifiable online presence (no GitHub, inaccessible LinkedIn, no open-source work) makes technical depth difficult to validate independently
- !Key tool gaps in LangSmith, LangFuse, LlamaIndex, Anthropic APIs, and MCP servers combined with future-dated resume entries require clarification before advancing
Culture Fit
Growth Potential
High
Salary Estimate
$90,000–$115,000 based on 8 years experience and senior AI engineering background, likely within the $80–$120K range specified
Assessment Reasoning
The candidate is scored as FIT (74/100) primarily because they meets the core technical requirements of the role: proven LangGraph multi-agent experience, vector database usage, full cloud-native stack proficiency, FastAPI-based backend engineering, and a founder background that aligns with the startup ownership culture. They clears the 2+ year minimum experience bar significantly, with 8 total years and at least 3-5 years of directly relevant AI/ML engineering experience. Their skill match covers approximately 65-70% of explicitly listed required skills, with the gaps being largely tooling-specific (LangSmith, LangFuse, CrewAI, LlamaIndex, Anthropic APIs, MCP) rather than conceptual — suggesting learnable gaps rather than fundamental mismatches. The FIT decision is tempered by moderate confidence (72%) due to the inability to verify their technical claims through code samples, GitHub, or LinkedIn, and due to minor resume inconsistencies. A technical interview and coding assessment are strongly recommended before making a final offer decision.
Interview Focus Areas
Code Review
No code example or GitHub profile was provided by the candidate, which is a notable gap for a senior founding engineer role. The assessment here is based entirely on resume descriptions rather than direct code evaluation. This warrants a technical assessment or coding challenge before proceeding to final stages.
- +Architecture described in resume projects (multi-agent pipelines, semantic search, real-time scheduling) suggests strong system design thinking
- +Stack choices across projects are modern and appropriate for production AI systems
- -No code sample was provided, making it impossible to directly assess code quality, style, or depth
- -No GitHub profile linked, which is a missed opportunity for a founding engineer role where technical credibility is critical
Experience Overview
8y total · 5y relevantThe candidate presents a strong 8-year engineering background with meaningful AI-specific experience in multi-agent systems, LangGraph, vector databases, and cloud-native deployments. Their founder experience at Edvenity and leadership roles demonstrate the ownership mentality the role demands. However, some key tool gaps (LangSmith, LangFuse, LlamaIndex, Anthropic, MCP) and suspicious future-dated role entries slightly temper confidence in the overall profile.
Matching Skills
Skills to Verify