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 .

Applied AI Engineer

Celonis · Bangalore, India

Regular - Unlimited Professional Hire Celonis English {'name': 'Sanchit Rathore', 'email': '[email protected]', 'user_id': 4576154003, 'employee_id': {'unit': 'USD', 'amount': '1500.0'} Orbit

We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?

Overview

You will join the Sailfin Accounts Receivable (AR) Team, a product engineering team working in the Finance and Accounting domain. The team designs, develops, deploys, and maintains a large-scale AR product used by global customers. Most of the team is based in India, including this role in Bangalore, and we work with a modern technology stack—AI/ML models, LLMs, multi-agent systems, cloud platforms, and automation frameworks. Our focus is on building secure, scalable, and intelligent solutions that transform financial operations.

The Role

We are looking for an Applied AI Engineer who can build production-ready predictive, generative, and agentic AI solutions for the Finance domain.

You will handle end-to-end development—from identifying use cases to deploying AI features in production. You must have experience building real-world, production-grade AI and agentic systems, not just POCs.

Responsibilities

  • Partner with product owners and finance experts to identify strong AI use cases in Accounts Receivable.
  • Design and build predictive models, generative AI features, and multi-agent systems tailored to business problems.
  • Develop LLM-based copilots and autonomous agents, including human-in-loop flows, security guardrails, and audit trails.
  • Work closely with software engineers and data scientists to embed AI features into the product.
  • Build and maintain secure, scalable MLOps pipelines for training, deployment, and monitoring.
  • Continuously evaluate and improve model performance and user impact.
  • Stay current with the latest advancements in LLMs, NLP, multi-agent frameworks, and applied AI engineering.
  • Set up and tailor AI demos as needed for customers, stakeholders, and internal teams.
  • Contribute to a culture of innovation, collaboration, and continuous learning.

Required Experience

AI/ML/LLM Experience

  • 7+ years of AI/ML engineering experience.
  • 3+ years of hands-on experience with LLM-based solutions.
  • 1+ year of experience building agentic systems (production-ready, not POCs).

Multi-Agent & Autonomous Systems

  • Strong understanding of multi-agent architectures, memory systems, tool-use, orchestration, routing, and safety guardrails.
  • Experience building autonomous or semi-autonomous agents with governance, logging, and human-in-loop flows.

Technical Skills

  • Strong programming skills in Python (preferred), R, or Java.
  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Solid understanding of predictive modeling, NLP, ML algorithms, and statistics.
  • Experience working in cloud environments (AWS/Azure/GCP) with model deployment and data pipelines.
  • Knowledge of GitHub/GitLab, version control, and CI/CD practices.
  • Basic understanding of web fundamentals (HTTP, JSON, authentication) and REST APIs to integrate AI/LLM solutions into the product.

General Skills

  • Strong analytical and problem-solving skills.
  • Ability to communicate complex concepts clearly to non-technical partners.
  • Great collaboration and teamwork abilities.
  • Curiosity and passion for innovation in AI and Finance.

What Celonis Can Offer You:

  • Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.
  • Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
  • Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more. Interns and working students explore your benefits here.
  • Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs.
  • Connect and Belong: Find community and support through dedicated inclusion and belonging programs.
  • Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.
  • Collaborate Globally: Join a dynamic, international team of talented individuals.
  • Empowered Environment: Contribute your ideas in an open culture with autonomous teams.

About Us:

Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

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