Bigmantra
https://bigmantra.comAbout
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PythonApply: https://processity.ai/careers/fullstack-ai-engineer
BigMantra is a Vertical Autonomous AI Agent Builder — we build AI companies that go a mile deep into specific industries. Our products include Mantra Spaces (AI-powered UK HMO property management) and Verity Law (AI-powered legal conveyancing). Our team is small, our stack is modern, and your code ships to production the same week you write it.
We're looking for a Fullstack AI Applied Engineer who can build full applications end-to-end and wire AI agents into production systems that real users depend on.
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 agents with real-world APIs — Salesforce, Google Workspace, WhatsApp Business, email providers
• Build and optimize database layers — production SQL, schema design, RAG pipelines
• Own deployment and infrastructure — Docker services, CI/CD pipelines on AWS or Azure
• Write tests that matter — E2E, load tests, performance benchmarks
• Collaborate directly with the founding team on architecture and product direction
MUST HAVE
• 3+ years of professional software engineering experience
• Strong JavaScript / TypeScript — React, Next.js, Node.js in production
• Strong Python — backends, agent systems, data pipelines
• Hands-on experience with at least one AI agent framework (LangChain, LangGraph, Claude Agent SDK, Agno, or equivalent)
• Docker services for containerization and deployment
• CI/CD pipelines — GitHub Actions, GitLab CI, or similar
• Deployment experience on AWS or Azure
• Solid SQL and database skills — schema design, query optimization
GOOD TO HAVE
• Experience with autonomous agents — MCP (Model Context Protocol), skills, plugins, tool-use
• Memory and context management for long-running agents
• Prompt engineering and optimization
COMPENSATION & BENEFITS
• ₹30L – 50L per annum (based on experience)
• Equity / ESOPs — early-stage participation
• Remote-friendly — Coimbatore office available
• Learning budget — courses, conferences, AI tooling subscriptions
• Flexible hours — output over seat time
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