Fullstack Developer

Strong Full-Stack/Frontend Developer Profiles

Mandatory (Experience 1): Must have 4+ years of hands-on experience in software development.

Mandatory (Experience 2): Must have 2+ years of frontend development experience with React.js, HTML5, CSS3, JavaScript (ES6+);

Mandatory (Experience 3): Must have 6 months+ experience of backend development with any backend language (Project will also work)

Preferred (Experience) – Exposure to GCP/AWS/DevOps and cloud-native development

About The Role

Location: Remote / Hybrid (India Preferred)

Experience: 03–10 years of relevant experience

Reports to: CEO/Co-founder

Type: Full-Time

Tech Stack: Python, Frappe, LangChain, Neo4j, FAISS, React.js, AWS/GCP/Azure

What You’ll Do

● AI/ML Development

○ Build AI-powered student learning insights using Graph Databases (Neo4j), FAISS,

Sentence Transformers, and OpenCV (ResNet-50).

○ Develop Retrieval-Augmented Generation (RAG) and reinforcement learning models to

personalize content and assessment.

○ Research and implement multi-modal generation (text, image, voice) for highly

personalized learning interactions.

○ Fine-tune and optimize transformer-based models (e.g., GPT, BERT) to deliver contextual,

culturally relevant learning experiences.

● Backend & API Development

○ Architect and build scalable backend using Frappe, FastAPI, or Django.

○ Develop REST and GraphQL APIs to connect PAL with TAP’s LMS, Glific, and content

repositories.

○ Integrate Redis and Celery to manage background inference processes.

○ Connect with Glific APIs to power our AI-driven WhatsApp learning chatbot.

● Frontend & User Experience (Optional)

○ Develop a React.js-based student dashboard for real-time learning insights and content

delivery.

○ Collaborate closely with our UX team to ensure intuitive and accessible design.

● Cloud & Deployment (DevOps)

○ Deploy and scale models across cloud platforms: AWS, GCP, or Azure.

○ Implement CI/CD pipelines (Jenkins, Cypress.io) to ensure continuous delivery and testing.

○ Use Docker and Kubernetes for managing containerized deployments.

● AI-Driven Security & Automation

○ Ensure data privacy and compliance by embedding AI-powered security checks.

○ Automate personalized content delivery through NLP chatbots and AI workflows.

Who You Are

● You’ve worked on AI/ML systems at scale, especially in EdTech, SaaS, or social impact settings

● You’ve built or fine-tuned models with GPT/BERT, FAISS, LangChain, or custom embeddings

● You know how to move between backend complexity and real-world deployment

● You’ve used tools like Zapier, N8N, or FastAPI in production

● You don’t just write code — you write roadmaps, define structure, and love cross-functional

collaboration

● Bonus: You’ve dabbled in adaptive learning, NLP in regional languages, or multimodal AI

What You Can Expect?

● Real ownership – You’ll lead architecture, experimentation, and rollout

● Deep learning – Work with experienced leaders across product, pedagogy, and AI

● Remote flexibility – Work from anywhere, build for everywhere

● Bold pace, clear values – We move fast, think big, and always center the child

● Future leadership track – Opportunity to grow into a Tech/AI Lead role as we scale

● Full transparency – Competitive salary, equity potential, and clarity on what’s next

Should have strong hands on experience of 8-10 yrs in Java Development.

Should have strong knowledge of Java 11+, Spring, Spring Boot, Hibernate, Rest Web Services.

Strong Knowledge of J2EE Design Patterns and Microservices design patterns.

Should have strong hand on knowledge of SQL / PostGres DB. Good to have exposure to Nosql DB.

Should have strong knowldge of AWS services (Lambda, EC2, RDS, API Gateway, S3, Could front, Airflow.

Good to have Python ,PySpark as a secondary Skill

Should have ggod knowledge of CI CD pipleline.

Should be strong in wiriting unit test cases, debug Sonar issues.

Should be able to lead/guide team of junior developers

Should be able to collab with BA and solution architects to create HLD and LLD documents

Role: .NET Developer with React.js

3+ years in .NET/C# development (ASP.NET, Web API, MVC or Core)

Expertise in React.js (Redux, Hooks, component design)

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.

Role Summary

We’re seeking a highly skilled and self-motivated Senior Software Engineer who thrives in a startup environment. You will lead end-to-end development of key features, own architectural decisions, and ensure the smooth delivery of our product.

Mandatory Skill Sets/Expertise

• 5-6 years of experience in full-stack development, with a strong focus on the MERN / PERN stack (MongoDB, PostgreSQL, Express, React, Node.js) and AWS.

• Expertise in AWS cloud architecture and experience with serverless solutions (Lambda, DynamoDB, API Gateway).

• Proficiency in designing and implementing CI/CD pipelines using Git, Jenkins, Github actions, or similar tools.

• Proven experience leading and guiding a development team, with strong mentoring skills.

• Ability to work independently and manage deliverables without oversight, while thriving in a startup mentality.

• Strong problem-solving abilities with a proactive approach to addressing technical challenges.

• Experience with databases like PostgreSQL, MongoDB, or other NoSQL solutions along with ORM tools like Sequalize & Mongoose ORM

• Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice to Have

• Knowledge of Typescript for both frontend and backend development. • Experience with Docker and containerized applications.

• Familiarity with GRC (Governance, Risk, and Compliance) tools or SaaS products.

• Experience with other AWS services like ECS, CloudFormation, or RDS.

Key Responsibilities

• Lead and mentor a team of developers, driving best practices in coding and architecture.

• Take full ownership of modules, from design through deployment, and launch web apps singlehandedly if needed.

• Design, develop, and maintain web applications using the PERN / MERN stack (MongoDB, PostgreSQL, Express, React, Node.js) with a focus on scalability, security, and performance.

• Prepare high-level technical designs and architectural decisions, especially on AWS serverless architecture and microservices.

• Implement secure, reliable, and scalable solutions using AWS services • Design and manage CI/CD pipelines to ensure continuous integration and automated deployments.

• Optimize application performance through techniques like lazy loading, code splitting, and caching.

• Collaborate with cross-functional teams, including Product Management, to define features and user experience improvements.

• Ensure high code quality by adhering to SOLID principles, implementing comprehensive testing, and embedding observability into the application.

• Monitor and respond to application performance incidents, focusing on improving uptime and resilience.

• Proactively offer suggestions during retrospectives and work on enhancing team productivity metrics such as Lead Time, Deployment Frequency, and Mean-Time-to-Recovery