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Founding Engineer- Full Stack + AI
Founding Engineer- Full Stack + AI
LITMAS AI's logo

Founding Engineer- Full Stack + AI

Litmas Career's profile picture
Posted by Litmas Career
3 - 10 yrs
₹15L - ₹35L / yr (ESOP available)
Remote only
Skills
skill iconNodeJS (Node.js)
skill iconMongoDB
Large Language Models (LLM)
skill iconNextJs (Next.js)
skill iconPython
skill iconAmazon Web Services (AWS)

Founding Engineer - LITMAS

About LITMAS

LITMAS is revolutionizing litigation with the first AI-powered platform built specifically for elite litigators. We're transforming how attorneys research, strategize, draft, and win cases by combining comprehensive case repositories with cutting-edge AI validation and workflow automation. We are a team incubated by experienced litigators, building the future of legal technology.

The Opportunity

We're seeking a Founding Engineer to join our core team and shape the technical foundation of LITMAS. This is a rare opportunity to build a category-defining product from the ground up, working directly with the founders to create technology that will transform the US litigation market.

As a founding engineer, you'll have significant ownership over our technical architecture, product decisions, and company culture. Your code will directly impact how thousands of attorneys practice law.

What You'll Do

  • Architect and build core platform features using Python, Node.js, Next.js, React, and MongoDB
  • Design and implement production-grade LLM systems with advanced tool usage, RAG pipelines, and agent architectures
  • Build AI workflows that combine multiple tools for legal research, validation, and document analysis
  • Create scalable RAG infrastructure to handle thousands of legal documents with high accuracy
  • Implement AI tool chains to provide agents tool inputs
  • Design intuitive interfaces that make complex legal workflows simple and powerful
  • Own end-to-end features from conception through deployment and iteration
  • Establish engineering best practices for AI systems including evaluation, monitoring, and safety
  • Collaborate directly with founders on product strategy and technical roadmap

The Ideal Candidate

You're not just an AI engineer, you're someone who understands how to build reliable, production-grade AI systems that users can trust. You've wrestled with RAG accuracy, tool reliability, and LLM hallucinations in production. You know the difference between a demo and a system that handles real-world complexity. You're excited about applying AI to transform how legal professional’s work.


What We're Looking For

Must-Haves

  • Deployed production-grade LLM applications with demonstrable experience in:
  • Tool usage and function calling
  • RAG (Retrieval-Augmented Generation) implementation at scale
  • Agent architectures and multi-step reasoning
  • Prompt engineering and optimization
  • Knowledge of multiple LLM providers (OpenAI, Anthropic, Cohere, open-source models)
  • Background in building AI evaluation and monitoring systems
  • Experience with document processing and OCR technologies
  • 3+ years of production experience with Node.js, Python, Next.js, and React
  • Strong MongoDB expertise including schema design and optimization
  • Experience with vector databases (Pinecone, Weaviate, Qdrant, or similar)
  • Full-stack mindset with ability to own features from database to UI
  • Track record of shipping complex web applications at scale
  • Deep understanding of LLM limitations, hallucination prevention, and validation techniques

Tech Stack

  • Backend: Node.js, Express, MongoDB
  • Frontend: Next.js, React, TypeScript, Modern CSS
  • AI/ML: LangChain/LlamaIndex, OpenAI/Anthropic APIs, vector databases, custom AI tools
  • Additional: Document processing, search infrastructure, real-time collaboration

What We Offer

  • Significant equity stake true ownership in the company you're building
  • Competitive compensation commensurate with experience
  • Direct impact your decisions shape the product and company
  • Learning opportunity work with cutting-edge AI and legal technology
  • Flexible work remote-first with a global team
  • AI resources access to latest models and compute resources

Interview Process

One more thing: Our process includes deep technical interviews and fit conversations. As part of the evaluation, there will be an extensive take-home test that should expect to take at least 4-5 hours depending on your skill level. This allows us to see how you approach real problems similar to what you'll encounter at LITMAS.

Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About LITMAS AI

Founded :
2024
Type :
Product
Size :
0-20
Stage :
Raised funding

About

N/A

Company social profiles

N/A

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Shubham Vishwakarma

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