AI Research Engineer (Early Career)
0y relevant experience
Executive Summary
The candidate is a Computer Engineering graduate from Spain with a broad but shallow technical background centered on software development and game projects. Their profile does not align with the AI Research Engineer role at any meaningful technical level — they show no exposure to LLMs, RAG, vector databases, prompt engineering, LangGraph, or agentic systems, which are the core competencies the role requires. Their most recent professional experience is sports coaching, and their only technical internships date back to 2017 and 2019. The absence of a code submission, accessible GitHub, and cover letter further weakens an already underprepared application. While the candidate may have long-term potential as a software engineer in other domains, they do not appear ready — or currently oriented — for this specific ML/AI role.
Top Strengths
- ✓Completed a Bachelor's degree in Computer Engineering, meeting the minimum educational requirement
- ✓Multilingual candidate (Spanish, English at superior/native level, Japanese novice) with international work experience
- ✓Demonstrated coaching and mentorship background suggests strong communication and structured thinking
- ✓Exposure to multiple programming paradigms (OOP via C#/Java, systems via C++, scripting via Python)
- ✓History of completing and publishing projects (itch.io games) shows some ability to deliver end-to-end
Key Concerns
- !Complete absence of LLM, RAG, agentic systems, or modern AI/ML experience — the core technical requirements of this role
- !No submitted code, no accessible GitHub, and no cover letter — failure to demonstrate engineering capability in any verifiable way
Culture Fit
Growth Potential
Moderate
Salary Estimate
$30,000 - $45,000 (based on early-career profile and European market context)
Assessment Reasoning
The candidate is assessed as NOT_FIT with high confidence. The role requires demonstrated hands-on experience with LLMs, RAG pipelines, agentic workflows, vector databases, and prompt engineering — the candidate's resume shows no evidence of any of these. They matches only 3 of 9 required skills (Python, Java, C++), falling well below the 50% threshold for a BORDERLINE consideration. Their overall score of 28 reflects the significant gap between their current profile and role requirements. Critically, they submitted no code sample and no cover letter, missing two opportunities to compensate for resume weaknesses. Their professional trajectory points toward game development and general software engineering rather than applied ML. There are no red flags in terms of character or professionalism, and their educational background is legitimate — but the technical alignment is insufficient for this position at this time.
Interview Focus Areas
Code Review
No code example was provided and no GitHub profile was accessible for review. While the candidate lists GitHub as a skill and references an itch.io portfolio, the absence of any submitted code is a significant gap for a role explicitly requiring demonstrated hands-on engineering. Without evidence, no meaningful code quality assessment can be made, and the score defaults to the lowest tier.
- +References an itch.io portfolio suggesting some project completion ability
- +Familiarity with version control (GitHub mentioned in skills)
- -No code sample was submitted, making it impossible to assess actual coding ability or production-quality standards
- -No GitHub profile was linked despite being listed in the resume, raising questions about the depth or recency of public work
Experience Overview
2y total · 0y relevantThe candidate holds a Computer Engineering degree and has a broad foundational programming background, but their resume reveals no meaningful alignment with the AI Research Engineer role. Their most recent hands-on technical experience is from 2019 internships, and their skills list — while including Python and Java — shows no exposure to the LLM, RAG, or agentic systems stack this role demands. The profile reads as an early-career generalist with game development inclinations, not an ML/AI-focused engineer.
Matching Skills
Skills to Verify