Versalence AI

AI Engineer (2–4 Years Experience) Location: Remote / Bengaluru, India Type: Full-time CTC: Up to ₹7 LPA (based on experience and capability) Start Date: Immediate openings About Versalence Versalence Infocomm is on a mission to build the next generation of intelligent automation systems. We design agentic AI workflows and deploy real-world automation for voice, chat, and enterprise integrations We’re looking for AI Engineers who can bridge system design with LLM-powered automation, using a blend of no-code orchestration tools and custom-coded microservices . You’ll Work With 🧩 Automation & Bot Platforms – Botpress, N8N, Flowise, Make.com etc., 🧠 LLM & AI Stack – LangChain, MCP, (Serverless architecture) 🔗 Backends & Infra – MongoDB, Supabase, Redis, Celery ⚙️ Programming – Python (FastAPI, Flask), JavaScript/TypeScript (Node.js, Express.js) 🌐 Protocols – REST APIs, WebSockets (WSS), Server-Sent Events (SSE), RPC 💻 Environment – Linux CLI, Docker, Git, Postman, Swagger What You’ll Do Build, deploy, and scale automation workflows (beyond simple chatbots) Design LLM-driven RAG systems and agent-to-agent (A2A) logic using LangChain or LangGraph Integrate external APIs, vector DBs, and real-time communication layers (REST, WSS, SSE) Collaborate with product and delivery teams to implement production-grade AI systems Optimize existing pipelines and backends for speed, reliability, and modularity You’re a Great Fit If You Have 2–4 years of experience in backend or AI engineering Can work comfortably with Python , JavaScript/TypeScript , and RESTful integrations Have hands-on experience with one or more orchestration tools (Botpress, n8n, Make.com, Flowise) Understand API auth flows , HTTP methods , and event-driven architecture Are fluent with Linux command line and comfortable deploying via Docker Love solving automation problems end-to-end — from architecture to production rollout Bonus Points Prior work with LangChain, LangGraph , or MCP-based multi-agent frameworks Experience building or integrating with voice systems (Twilio, VAPI) Exposure to LLM evaluation , token optimization, or context-memory design You’ve built and shipped something real — bots, APIs, or agent frameworks Why Work at Versalence You’ll work directly with the founding and engineering leadership team, building production-grade automations used by clients in engineering, sales, customer service, design, legal, etc. We move fast, value autonomy, and measure success by what we ship, not how long we plan . Like challenges and like getting challenged every day to learn something new and be on bleeding edge of AI implementation, this is your place (not for weak heart) If you thrive in a space where AI, systems thinking, and automation converge — this is your playground. Note : This role is remote and you need to have your own laptop - We may soon move into an inoffice setup, wherein you will need to work from office and will be provided with an office laptop/desktop 📩 Apply now: careers@versalence.ai 🌐 Learn more: www.versalence.ai