Processity
Website:
processity.ai
Job details:
₹30L - ₹50L per annum + Equity / ESOPs
Why this mattersMost AI engineer roles in India cap at ₹25 - 35 LPA. Senior roles at top product companies reach ₹40–45 LPA.
We're offering up to ₹50 LPA - FAANG-tier compensation - at an early-stage company where your code ships to production the same week.
This isn't a research role. This isn't a prompt-engineering gig. We need someone who can build complete AI-powered applications end-to-end and wire them into systems that real users depend on every day.
About Processity.aiWe build AI-native products — intelligent agents that automate real business workflows across property management, sales, and operations.
We are a small, fast-moving team with a modern stack. No layers of approval. No months-long sprint cycles. The code you write ships to production the same week.
What You’ll Do
- Build and ship full-stack web applications using React / Next.js and Python / Node.js
- Design and implement AI agent workflows using LangChain, LangGraph, Claude Agent SDK, Agno, or similar
- Integrate AI agents with real-world APIs such as Salesforce, Google Workspace, WhatsApp Business, and email providers
- Build and optimize database layers including production SQL, schema design, and RAG pipelines over structured data
- Own deployment and infrastructure including Docker services and CI/CD pipelines on AWS or Azure
- Write tests that matter including E2E tests, load tests, and performance benchmarks for agent systems
- Collaborate directly with the founding team on architecture decisions and product direction
Must Have
- 3+ years of professional software engineering experience
- Strong JavaScript / TypeScript experience with React, Next.js, and Node.js in production
- Strong Python skills for backend systems, agent workflows, and data pipelines
- Hands-on experience with at least one AI agent framework such as LangChain, LangGraph, Claude Agent SDK, Agno, or equivalent
- Experience with Docker for containerization and deployment
- Experience building CI/CD pipelines using GitHub Actions, GitLab CI, or similar tools
- Deployment experience on AWS or Azure
- Solid SQL and database fundamentals including schema design and query optimization
Good to Have
- Experience building RAG pipelines using vector databases, embedding models, and document processing
- Familiarity with Supabase, Prisma, or modern database tooling
- WhatsApp, Slack, or email integrations
- Salesforce APIs or enterprise CRM systems
- Kubernetes experience
- Open-source contributions
Compensation and Benefits
- Salary range ₹30L to ₹50L per annum based on experience
- Equity / ESOPs with early-stage ownership
- Remote-first role - work from anywhere
- Learning budget for courses, conferences, and AI tooling subscriptions
- Flexible working hours focused on outcomes, not seat time
- Cutting-edge AI stack with daily exposure to the latest agent frameworks and LLM APIs
Who You Are
- You ship. You prefer production impact over perfect design docs
- You are curious about AI but grounded in strong engineering fundamentals
- You can switch between database migrations and prompt engineering without friction
- You communicate clearly in code, documentation, and conversation
Click on Apply to know more.