Hire the Best Artificial Intelligence Engineers in Bengaluru, IN

I primarily work on four types of projects: 1) Crafting your AI Strategy Expand your business vision with the latest tools and frameworks. Teach me about your industry, and I'll steer your AI journey from discovery through deployment—identifying opportunities, crafting your roadmap, and shaping a data-driven strategy that delivers measurable impact. 2) Automation and Intelligent Workflows Transform time-sensitive, repetitive tasks into streamlined, AI-powered workflows—from lead validation and customer onboarding to compiling accurate, visually compelling reports and advanced analytics. I help boost efficiency, reduce manual effort, and scale your operations. 3) Conversational bots and Multi-Agent Systems Engage users and help employees with text and audio based conversations. Whether for customer service, data scientists on top of internal DBs and training material, or compliance-based communication, our solutions act autonomously and collaborate seamlessly to get things done. 4) AI-Assisted Full Stack Development Our team is trained to use AI judiciously during every stage of development. Vibe coding can go horribly wrong when in the hands of the uninitiated, but when you combine tools like Cursor with our engineering expertise, you get reliable new products and services faster than has ever been possible. My portfolio has more examples, but in short, if you're looking to build specialized agents to perform enterprise-ready tasks, you'd be hard-pressed to find a more qualified developer anywhere on Upwork. I'll be applying as an organization - krazimo (krazimo.com), so you'll get two world-class engineers (Mridul and I) working on your project, as well as a number of junior engineers to perform the smaller engineering tasks. You'll have full transparency into who's doing what, and our junior engineers work for approximately 2/3 our hourly rate. Here's a little about my 11 years of experience. Google (2019-2025) I spent six years as a senior software engineer at Google. My two major projects currently were Admin AI Assistant: I'm worked as an LLM specialist on building a RAG solution to improve Google's customer service in our workspace Admin Console. Gemini Reporting: Led a team of 10 people in building a large scale pipeline that can handle high QPS events on Gemini usage and report on value and RoI for our Gemini Product in Google Workspace. Apart from these, I have designed, implemented and shipped many technically complex products at Google. They often involved coordinating efforts among large teams and always required me to adhere to the highest engineering standards. I hope I can bring this expertise to your company. NLP Engineer (2016-2019) Cofounded, Headed AI and built the prototype and MVP for Butter.ai, which raised $3M in seed funding and was eventually acquired by Box. Worked on sentiment analysis problems for psychiatric chat centers (analysis user messages to flag dangerous situations) Worked on text extraction and question answering problems for a company that helped health insurance providers answer complex questions related to a customer's coverage. Mobile Engineer (2013-2015) Worked on a number of apps for clients - including building the cleartax.in android application. Worked at IBM as a software engineer on a MDM product that involved core android development (very low level control of services and permissions). At the moment, this process is more about exploring the space and seeing what people are looking for in the world of AI, outside massive AI-centric companies like Google (my hourly rate is actually below my current salary, so you're getting a pretty great deal while I perform this exploration)!

Agentic AI Developer | Voice & Conversational AI Solutions I build AI agents, voice-interactive systems, and LLM-powered applications using modern agentic and conversational AI frameworks. With a background in AI/ML and hands-on Generative AI development, I focus on designing systems that are structured, scalable, and production-ready by design. I work with startups and small teams to translate business requirements into working AI solutions, covering architecture, development, and deployment fundamentals. Areas of Focus Agentic AI Systems Goal-driven agents, tool usage, planning, memory, and multi-step reasoning using LangGraph, CrewAI, and LlamaIndex RAG & LLM Applications Retrieval-augmented generation, domain-specific chatbots, and document-based Q&A systems Voice & Conversational AI Voice-enabled assistants, speech-to-text and text-to-speech pipelines, and real-time conversational systems Vector Search & Semantic Retrieval Embedding pipelines and semantic search using modern vector databases Workflow Automation (n8n) AI-driven automation workflows integrating agents with APIs, databases, and business systems Full-Stack AI Development & Deployment FastAPI backends, AI-powered web apps, and cloud deployment fundamentals on AWS, GCP, and Azure Rapid Prototyping & MVPs Fast AI application prototyping using Lovable, Replit, and Bolt for quick validation and iteration Development Workflow I regularly use AI-assisted development tools such as Claude Code, Cursor, and Antigravity, along with n8n for automation, to iterate quickly, test agent behavior, and build maintainable systems with human-reviewed logic. Why Clients Work With Me - Strong foundation in AI/ML and Generative AI - Practical understanding of agentic, conversational, and automation systems - Clean, structured, and maintainable code - Clear communication and realistic delivery expectations If you’re looking for a developer who understands how modern AI agents are built and iterated quickly, I’d be happy to collaborate.

Overview: You have an AI product idea — or an existing product that needs AI built into its core. You need someone who won't just write code, but make the hard architectural decisions that determine whether your product scales or breaks at 10,000 users. That's what I do. I've shipped 5 AI-native products in the last 2 years, each running in production with real users today. Not prototypes. Not demos. Production systems handling real data, real money, and real compliance requirements. Recent results: → Built an AI conversation intelligence platform that analyzes calls across 19 dimensions in real-time — now processing hundreds of conversations daily for a US-based SaaS company → Delivered an AI medical education platform with 11 LLM-powered endpoints, integrating clinical evidence from randomized controlled trials — used by healthcare professionals for continuing education → Shipped an AI learning platform with 9 specialized AI pipelines — 500+ study hours saved for users within months of launch → Architected an AI-powered industrial support system with vector search and multi-tenant isolation — deployed across operator, technician, and admin roles for a European client What makes me different from other AI developers: Most developers bolt AI onto existing products as a feature. I architect systems where AI is a core capability — from database schema to user experience. Every project I deliver includes production infrastructure (CI/CD, monitoring, error tracking), not just application code. I also run a team at Growth Loops Technology, which means I can scale up when your project needs it — without you managing multiple freelancers. I'm the right fit if you need: → An AI-native product built end-to-end (backend, AI pipelines, deployment) → LLM integration done properly (structured output, RAG, multi-stage pipelines) → A senior architect who can own technical decisions and communicate clearly → Someone who ships on schedule and writes code that holds up in production Technical depth (for the engineers reading this): Backend: NestJS, Node.js, TypeScript, Python, FastAPI, Django AI/ML: GPT-4o, Claude, LangChain, LangSmith, Whisper, AssemblyAI Data: PostgreSQL, Redis, BullMQ, Pinecone, OpenSearch, Meilisearch Infra: Docker, GitHub Actions, AWS, Cloudflare R2, Sentry 15+ years of software engineering. Every project delivered with authentication, async job processing, multi-tier caching, and production monitoring baked in from day one.

Once an Astrophysics Researcher, now a 3× AI Founder. I turned curiosity about the universe into AI systems that drive measurable business outcomes. I’m Vivekjyoti Bhowmik, Founder of TOINGG an AI Communication OS and PGAGI, an AI consultancy building production-grade AI systems for businesses across the US, UK, GCC, UAE, Australia, and India. Over the last few years, my team and I have built 80+ AI systems across industries. - Real production systems with users, revenue, workflows, and business impact. We specialize in building AI systems that are: → Enterprise-grade → Multi-tenant → Scalable → Secure → Integrated into real business operations → Built for ROI, not experimentation One of the platforms we helped build, Branify, crossed 50,000+ live users within one month of launch in 2026 may. Across our portfolio, more than 70% of the products we’ve built are live, used by real customers, and have paying users. Today, we don’t just “build AI.” We implement AI into business workflows to generate ROI within 90 days. What We Actually Do We design and deploy AI systems that replace manual work, increase conversion, and reduce operational load. → Turn inbound leads into qualified meetings automatically → Replace repetitive operations with AI-driven workflows → Build AI systems on top of your existing stack — CRM, WhatsApp, ERP, databases, spreadsheets, and internal tools → Create decision systems that improve revenue, not just dashboards → Build scalable AI products with multi-tenant architecture, role-based access, usage tracking, and production monitoring Real Business Impact ✅ AI Communication System — TOINGG handles high-volume AI calling workflows with scalable infrastructure and 99.9% uptime focus ✅ Branify — 50,000+ live users within one month of launch ✅ Outreach System — 200 cold messages converted into 8 qualified meetings and $7million sales in pipeline ✅ Global Clients — US, UK, UAE, GCC, Australia, and India ✅ 70%+ of products built are live with real users and paying customers Revenue & Sales Systems We build AI systems that help businesses convert more leads without increasing manual workload. Examples: → Lead comes in → AI qualifies the lead → Tags them as HOT / WARM / COLD → Books a call → Updates CRM → Hands off to the sales team only when needed This helps your team focus on high-value conversations instead of repetitive follow-ups, lead sorting, and data entry. Operational Automation We automate internal workflows that usually consume hours of manual work. Examples: → PDFs, Excel files, emails, and forms processed automatically → Data cleaned, structured, and pushed into CRM / ERP / Google Sheets → Missing data, delays, or incorrect entries detected in real time → Alerts and tasks triggered automatically → Humans involved only for approvals, exceptions, and critical decisions Data → Decisions We build AI systems that execute and make desicions. They trigger action. → Forecasting → Automated reporting → Business intelligence with execution layer → Decision support systems → AI dashboards connected to workflows Custom AI Products For founders, startups, and growing businesses, we build complete AI products from scratch. This includes: → Multi-agent architectures system → Multi- model RAG pipelines (scalable) → Enterprise-grade SaaS platforms → Multi-tenant backend systems → AI workflow automation → Role-based dashboards → Voice AI and communication systems → Scalable APIs and infrastructure We Are a Fit If ✔ Your business is doing minimum $1million in ARR ✔ You already have operations running — 20 people team, leads, data, customers, or workflows ✔ You want to implement AI into real business processes ✔ You need scalable, production-grade systems ✔ You care about outcomes, speed, and execution Not a Fit If ✖ You are exploring AI just to try it ✖ Price matters more than business outcome ✖ There is no clear use case or objective ✖ You are not ready to execute fast Why Founders Work With Us → We think like partners, not developers → We focus on outcomes first, AI second → We build systems that integrate into your business, not sit outside it → We understand product, architecture, AI, and business ROI together → We have experience building systems used by millions of real users If you are looking to increase revenue, reduce manual work, or scale operations using AI, message me. We’ll map your workflow, identify the ROI opportunity, and show you exactly what should be built.

I am a full stack developer and technical consultant specializing in Next.js, Firebase, and custom AI integrations. With deep experience managing the entire product lifecycle, I build scalable web and mobile applications from concept to launch. Whether you need a responsive e commerce platform, a secure backend, or a smart AI tool, I deliver robust software solutions tailored to your business goals. Let us build something great together.

Most AI projects I see die between prototype and production. The demo works. The real system doesn't. I've spent 13 years in engineering — Samsung R&D, Urban Ladder, Ola Finance, HDFC — and the last few years almost entirely building LLM systems that actually ship and stay running. A few things I've built recently: An agentic pipeline that reads Reddit and HN posts, scores buying intent across 5 dimensions using Claude + vector memory, and routes leads to sales or content — automatically, in under 60 seconds. Before this, the same process took a sales rep hours, sometimes days. A personalized AI storytelling platform for kids that hit 41% free-to-paid conversion and 68% month-1 retention. Parents generate a story in under 3 minutes. The AI makes their child the hero. It works because we got the quality bar right, not just the tech. A conversational analytics tool for a retail client that translates plain English questions into SQL queries against live warehouse data — RAG + intent generation + semantic correction, built on AWS Glue and Athena. That's the kind of work I do. Not demos. Not proofs of concept If you're building something real and need someone who'll think through the architecture properly, own the delivery, and actually give a damn about whether it works in production — tell me what you're working on. Stack: LangGraph, FastAPI, Python, Next.js, Hermes, MCP, Claude/OpenAI/Gemini APIs, ChromaDB, Pinecone, Supabase, PostgreSQL, AWS, Node.js