Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Azure AI Applications Engineer

Lanternstudiosinc · Dallas, TX

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.

Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.

Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.

As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.

Azure AI Applications Engineer

We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the power of Microsoft Azure’s AI ecosystem. This role is ideal for a seasoned engineer with deep expertise in cloud-native development, AI services, and solution architecture. You will collaborate across practices to deliver transformative solutions for clients in healthcare, retail, energy, and technology sectors. Your work will shape the future of intelligent apps at Lantern, driving innovation and impact.


Key Responsibilities

  • Architect and implement scalable, secure, and high-performance AI applications using Azure AI services such as Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning.
  • Design and develop full-stack applications using modern frameworks (e.g., React, Angular, Blazor) and cloud-native patterns (e.g., APIs, microservices, containers, event-driven architecture).
  • Lead the integration of Azure App Services, Functions, and Storage into intelligent solutions that meet enterprise-grade performance and compliance standards.
  • Collaborate with cross-functional teams to define solution architecture, DevOps pipelines, and infrastructure-as-code using tools like Azure DevOps, GitHub Actions, Bicep, ARM, or Terraform.
  • Provide strategic consulting and technical leadership to clients, guiding them through AI adoption, app modernization, and platform engineering.
  • Mentor junior engineers and contribute to practice development through reusable patterns, accelerators, and thought leadership.

Skills, Knowledge and Expertise

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
  • 6+ years of experience in cloud-native application development, technical consulting, and leading customer-facing projects.
  • 4+ years of experience in Azure technologies
  • Proficiency in programming languages such as Python or C#, with experience building intelligent apps using Azure AI services.
  • Strong understanding of Azure architecture, including App Services, Functions, Storage, Networking (private endpoints, security), and DevOps practices.
  • Experience with frontend frameworks like React, Angular, Blazor, or Vue.
  • Familiarity with infrastructure-as-code tools such as ARM, Bicep, or Terraform.
  • Technical certifications in Azure (e.g., AZ-900, AZ-204, AZ-305, AZ-102) are highly desirable.
  • Exceptional communication and leadership skills, with the ability to translate complex technical concepts into business value for stakeholders.

 

Benefits

  • A culture that both wows our customers and employees; 
  • Variety of challenging projects, and the ability to work with leading-edge technologies; 
  • Competitive salary & group benefits; 
  • Generous training and education opportunities; 
  • Diverse team social events;
  • Be part of a team that believes in diversity, inclusion, and a fun atmosphere!