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Fit analysis

The candidate is a highly skilled full-stack engineer with deep expertise in complex B2B and IoT systems integration, matching many core requirements. However, the resume lacks explicit evidence of AI/LLM implementation and specific experience depth across major cloud platforms (AWS, Azure, GCP), and the total years of experience fall short of the 8+ year requirement.

Where you fit

Where you may struggle

Cover letter

Job description
Salary is 150k to 170k + bonus. We are looking for a seasoned engineer with 8+ years of experience in software engineering, application development, or complex systems integration to join our team. What you will bring to the role: Front-End Engineering: Strong proficiency in JavaScript, TypeScript, and modern frameworks such as React, Angular, or Vue.js to build responsive, component-driven user interfaces. API Development & Integration: Deep experience designing, developing, and securing RESTful APIs, data exchange pipelines, authentication protocols, and cross-application communication. AI & LLM Integration: Hands-on familiarity with AI technologies, embedding AI-powered services and large language models (LLMs) into production software applications. Cloud Infrastructure: Proven background developing, deploying, and supporting cloud-native solutions across major platforms including Microsoft Azure, AWS, and Google Cloud Platform. Communication & Collaboration: Outstanding analytical, troubleshooting, documentation, and interpersonal skills, with a track record of collaborating smoothly across technical teams and business stakeholders.

Questions from the bot

Do you have hands-on experience integrating AI services or Large Language Models (LLMs) into a production application? If so, what was your role in that integration?
Can you describe your deployment and infrastructure management experience specifically within AWS, Azure, or GCP? What services did you use (e.g., EC2, Lambda, AKS)?
You listed Docker; can you elaborate on how you used it to containerize and deploy complex applications in a production environment?

Timeline

2026-10-20 22:10:53
scored 82: The candidate is a highly skilled full-stack engineer with deep expertise in complex B2B and IoT systems integration, matching many core requirements. However, the resume lacks explicit evidence of AI/LLM implementation and specific experience depth across major cloud platforms (AWS, Azure, GCP), and the total years of experience fall short of the 8+ year requirement.
2026-10-20 22:04:53
found Found via jobspy:linkedin