AI Engineer

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By submitting this application, you acknowledge and consent to the use of artificial intelligence (AI) technologies in the recruitment process, including but not limited to resume screening, candidate assessment, and interview facilitation. Your application data may be processed by AI systems to evaluate your qualifications. You have the right to request human review of any AI-assisted decisions.

Job Description

Role: AI Engineer

Function: Engineering

Location: Bangalore

Type: Full-time

Compensation: 20 LPA -40 LPA

Industry: Fintech, AI, Accounting Technology, B2B Saas

About Company

An early-stage, venture-backed fintech startup building an AI-driven operating system for modern accounting firms. The platform centralizes data and automates workflows with intelligent agents.

It provides real-time insights for high-volume finance teams. Founded by repeat entrepreneurs who have scaled companies before, the organization values speed, ownership, and craftsmanship.

Backed by top-tier investors, the team now hires founding engineers to shape both product and culture.

Position Overview

You join the founding team to build cutting-edge document AI systems that transform how accounting firms process financial documents. You work directly with founders to shape the AI-first product vision. You architect systems that will process millions of financial documents while defining both technical standards and company culture as a founding engineer.

Role & Responsibilities

  • Design and implement document AI systems using computer vision and NLP techniques
  • Fine-tune vision-language models for financial document understanding and data extraction
  • Develop and optimize OCR pipelines and visual transformer architectures
  • Create precise prompts and instructions for VLMs and LLMs to handle complex financial tasks
  • Build and maintain ML model training pipelines from experimentation to production deployment
  • Collaborate with product and engineering teams to integrate AI capabilities into the platform
  • Prototype and iterate on new AI features in fast-paced startup environment

Must Have Criteria

  • 4-8 years of ML engineering experience with prior experience in document processing using AI
  • Strong computer vision expertise for financial document analysis and understanding
  • Deep learning expertise with both PyTorch and TensorFlow for model development and training
  • Hands-on experience with OCR systems and document processing technologies
  • Proven experience with Vision-Language Models (VLMs) and Large Language Models (LLMs)
  • Experience working with financial documents (invoices, receipts, bank statements, tax statements)
  • Experience crafting precise prompts for VLMs and LLMs with measurable task outcomes

Nice to Have

  • Background in fintech, accounting software, or B2B finance domain workflows
  • Experience with AWS services beyond Textract (Lambda, S3, SQS) for document processing pipelines
  • Contributions to open-source ML/AI projects or document processing libraries

What We Offer

  • Meaningful equity with competitive salary and comprehensive benefits package
  • Opportunity to architect AI-first systems and influence product roadmap from day one
  • Accelerated growth path to technical leadership in a high-trust, autonomous environment
  • Direct collaboration with repeat entrepreneur founders and top-tier investor backing

Apply Now

Share your details below to apply for this job.

Enter a number between 0 and 1000
Enter a number between 0 and 1000
Enter a number between 0 and 120
Are you currently on notice period?

Accepted formats: .doc, .docx, .pdf, .png, .jpeg, .jpg

Maximum file size: 20MB

By submitting this application, you acknowledge and consent to the use of artificial intelligence (AI) technologies in the recruitment process, including but not limited to resume screening, candidate assessment, and interview facilitation. Your application data may be processed by AI systems to evaluate your qualifications. You have the right to request human review of any AI-assisted decisions.