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 .

AI Engineer Manager

Blend360 · Bogotá, Bogota, co

  • Architect and lead the implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems.

  • Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management.

  • Oversee the deployment of AI-powered applications across cloud environments (AWS, Azure, or GCP) ensuring scalability, reliability, and cost-efficiency.

  • Establish best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).

  • Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls.

  • Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production ownership.

  • Mentor and guide junior and mid-level engineers, ensuring high-quality, modular, and maintainable Python code standards.

  • Drive experimentation strategies, define KPIs, and promote data-driven decision-making across AI initiatives.

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

We are seeking an AI Engineer Manager to contribute to our next level of growth and expansion.

What is this position about?

We are looking an AI Engineer to drive the design, architecture, and production deployment of advanced Generative AI solutions. This role will be responsible for leading the technical direction of LLM-based systems, agentic workflows, and applied AI initiatives, while collaborating closely with Engineering, Product, and ML Ops teams. The role requires strong hands-on expertise combined with technical leadership capabilities.

  • Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).

  • Strong expertise in transformer-based models and LLM architectures.

  • Proven experience designing and deploying applied machine learning or generative AI systems to production environments.

  • Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools.

  • Advanced proficiency in Python and production-grade coding practices.

  • Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures.

  • Strong leadership skills with the ability to bridge rapid prototyping and scalable production deployment.

  • Excellent collaboration and communication skills, with experience working at the intersection of Data Science and Engineering.

Our Perks and Benefits: 

📚 Learning Opportunities: 

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 

  • Access to AI learning paths to stay up to date with the latest technologies. 

  • Study plans, courses, and additional certifications tailored to your role. 

  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 

  • English lessons to support your professional communication. 
     

🛫 Travel opportunities to attend industry conferences and meet clients. 

👩‍🏫 Mentoring and Development: 

  • Career development plans and mentorship programs to help shape your path. 

🎁 Celebrations & Support: 

  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 

  • Company-provided equipment.  

⚖️ Flexible working options to help you strike the right balance.    

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.