Backend AI engineer

Role & responsibilities

Backend/AI Engineer

Cync helps AI teams ingest real world enterprise data with state of the art accuracy. The vast majority of enterprise data from financial statements to health records is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale. The Opportunity As a Backend/AI Engineer, you'll work on our core API that powers document parsing for hundreds of companies. You'll integrate cutting-edge LLMs, optimize document processing pipelines, and build the infrastructure that makes state-of-the-art document understanding accessible at scale. We Would Love To Meet You If You:

• Philosophy: You are your own worst critic. You have a high bar for quality and don't rest until the job is done rightno settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.
• Experience: You have 2+ years of experience building real world applications and integrating LLMs into production systems
• Language: You're exceptional at Python
• Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.
• Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.

The Core Work Will Include:

• Integrating and optimizing LLM calls for structured extraction, form filling, and document understanding tasks
• Making improvements to API design and pre-processing algorithms (chunking, structured extraction, etc.) based on customer feedback
• Building and improving document processing pipelines that handle everything from PDFs to spreadsheets at scale
• Experimenting with new techniques and output structures to improve LLM accuracy and reduce latency
• Building internal tooling and evals to better understand/analyze failure cases
• Working directly with the founders and customers to shape the product direction and engineering strategy

Bonus Points If You: Have prior experience founding a company or building products at early stages

• Have experience with prompt engineering, fine-tuning, or building AI agents
• Are ambitious and driven, and care a lot about doing great work with great people
• Keep up with the latest developments in ML/AI About Cync Nearly 80% of enterprise data is in unstructured formats like PDFs PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of hours wasted every week. Traditional approaches fail at reliably extracting information in complex PDFs OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with. Cync Breaks Document Layouts Into Subsections And Then Contextually Parses Each Depending On The Type Of Content. This Is Made Possible By a Combination Of Vision Models, LLMs, And a Suite Of Heuristics We Built Over Time. Put Simply, We Can Help You:
• Accurately extract text and tables even with nonstandard layouts
• Automatically convert graphs to tabular data and summarize images in documents
• Extract important fields from complex forms with simple, natural language instructions
• Build powerful retrieval pipelines using Cync’s document metadata
• Intelligently chunk information using the document’s layout data

Preferred candidate profile

experience : 7 - 10 years

relavant atleast 5 years into AIml

current location:hyderabad