AI Engineer

ycombinator

Gurgaon, India 2 Years Exp Posted 32d ago

What You’ll Do

Create accurate and reliable systems to extract and analyze knowledge from documents
Architect, implement, and deploy AI agents for email and phone communications between freight accounting parties (payer/payee), leveraging language and vision LLMs for automation and analysis.
Design and refine high-impact prompts, templates, and evaluation harnesses to ensure robust, reliable agent behavior.
Build scalable pipelines for preprocessing, training, inference, and feedback loops, including evaluation and integration of VLMs.
Monitor and diagnose agent performance in production, rapidly addressing failures and refining prompts, workflows, and models.
Create and maintain high-quality training, evaluation, and test datasets.
Enhance the AI stack through creative prompting, fine-tuning, and continuous iteration.
Productionize models within Lighthouz’s intelligent automation platform.
Collaborate with product and engineering teams to integrate AI outputs into document, email, and voice workflows, delivering polished, production-ready solutions.
Continuously improve model performance in real-world conditions.

2+ years in ML/AI roles, ideally in document AI
Deep learning expertise with PyTorch, TensorFlow
Prompting wizardry — skilled at crafting precise, reliable prompts for VLMs & LLMs, translating complex tasks into actionable instructions
Experience fine-tuning VLMs
Strong knowledge of OpenAI, Claude, and other agentic toolkits
Hands-on with OCR, visual transformers, multimodal models
Background in conversational AI, voice AI, NLP research, and LLM training
Proven track record of training & deploying models to production
Problem-solver & builder mindset — fast to prototype, faster to iterate
- Comfortable with ambiguity and evolving datasets