Lead AI Systems Engineer (India)

Lead AI Systems Engineer (India)

11 Sep
|
Anthroholic
|
India

11 Sep

Anthroholic

India

Company: Anthroholic Technologies Private Limited (AnswerWriting.com)
Location: Remote / Hybrid
Employment Type: Full time
Compensation: Salary + Competitive ESOPs

About AnswerWriting.com
At AnswerWriting.com, we are revolutionizing exam assessments with our proprietary AI-powered evaluation platform. Our mission is to deliver hyper-accurate, structured, and instant feedback on handwritten answer booklets - analyzing structural clarity, multi-dimensional content depth, diagram integration, and strict rubric alignment.

We are scaling a proprietary, self-hosted, ultra-low-latency AI engine to process high-volume handwritten assessments daily. As our Lead AI Systems Engineer, you will own the core technical strategy and execution of our custom Computer Vision and open-source LLM pipeline built entirely on bare-metal GPU infrastructure.

The Role
This is the central technical leadership role in the company. You will architect, optimize,



and scale our end-to-end evaluation engine-from raw image preprocessing and custom handwriting OCR/layout analysis models to local quantized LLM reasoning and high-throughput inference serving.
If you excel at optimizing CUDA workloads, fine-tuning vision-language architectures, enforcing structured LLM outputs, and building high-concurrency bare-metal systems with zero reliance on third-party API dependencies, this role is for you.

Key Responsibilities

Computer Vision & Custom Document Intelligence Engine
Design, fine-tune, and deploy state-of-the-art open-source handwriting recognition and Vision Transformer (ViT) architectures on specialized, domain-specific datasets.
Build robust, fault-tolerant image preprocessing pipelines to handle automatic page alignment, deskewing, binarization, margin isolation, and document segmentation.
Fine-tune models to accurately recognize multi-lingual scripts (including English and Devanagari/Hindi), diverse handwriting styles, inline margin notes, and evaluator annotations.
Implement custom visual

📌 Lead AI Systems Engineer (India)
🏢 Anthroholic
📍 India

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