Hire AI Chatbot Developers Who Move Your Bot From Pilot to Production
Hire AI chatbot developers from Entrans to build chatbots that answer from your own data and connect to your CRM and helpdesk. Each bot knows when to hand off to a person. Our team built Thunai, an enterprise AI platform that supports customers in 150+ languages. Vetted developers join your team within 48 to 72 hours.
Why Market Leaders Choose Entrans AI Chatbot Developers
Most chatbot pilots answer a few scripted FAQs and then stall. When you hire enterprise AI chatbot developers from Entrans, you get bots that pull live data and finish real tasks. They also know when a person should take over.
1. Built by the Team Behind Thunai
We built Thunai, an enterprise AI platform that handles customer support in over 150 languages. Every chatbot we build for clients draws on what we learned taking that platform to production.
2. Answers Grounded in Your Data
Your chatbot answers from your help center, policy docs, and product data through retrieval-augmented generation (RAG). Each reply can cite its source, which keeps made-up answers out of customer chats.
3. Connected to the Systems That Matter
Our developers link bots to Salesforce, Zendesk, ServiceNow, and your order systems. That lets the bot check an order, reset a password, or open a ticket. When a bot needs to act across many tools, our AI agent development team turns it into a full agent.
4. Guardrails and Clean Handoff
We add topic limits, PII redaction, and escalation rules before launch. When a chat moves to a live agent, the full history goes with it, so no customer has to repeat the problem.
5. Flexible Ways to Hire
Bring on one developer, a full chatbot pod, or an AI chatbot consultant to scope your first use case. Developers onboard within 48 to 72 hours and scale with your roadmap.
Hire AI Chatbot Developers From Entrans That Are Certified and Experienced
Our chatbot developers have shipped bots for support, sales, and internal helpdesks. Here is the work they take on day to day.
Chatbot Strategy and Use-Case Scoping
An AI chatbot consultant from our team studies your ticket data to find the questions worth automating first. You get a scoped plan, target resolution rates, and a clear build-or-buy call, backed by our generative AI consulting practice.
LLM and RAG Development
We build with GPT, Claude, Gemini, and Llama models, plus vector search in Pinecone, pgvector, or Azure AI Search. Chunking, reranking, and prompts are tuned to your content.
Conversation Design and Flows
Our developers map intents, fallback paths, and tone of voice. Bots ask clarifying questions, keep context across turns, and know when to escalate.
CRM, Helpdesk, and API Integration
We connect chatbots to Salesforce, Zendesk, Intercom, ServiceNow, HubSpot, and SAP through REST APIs, webhooks, and MCP tools. The bot reads and writes real records, with the same permissions a staff member would have.
Multichannel Deployment
Launch one bot across your website, mobile app, WhatsApp, Microsoft Teams, and Slack. For phone and voice assistants, our conversational AI developers extend the same logic to voice channels.
Testing, Security, and Analytics
We test answers against real transcripts, red-team for prompt injection, and track resolution rate, CSAT, and cost per conversation. For regulated data, our cybersecurity and compliance team helps you meet rules like HIPAA and GDPR.
Schedule Interviews With AI Chatbot Developers and Onboard Them Within 48-72 Hours
AI Chatbot Development Technology Expertise
LLMs + Frameworks
Chatbot Platforms
Retrieval + Evaluation
Integrations + Channels
Our Customer Success Stories
Built an AI Compliance Chatbot for a RegTech SaaS Company
Technical Stack: WordPress, HTML, CSS, JavaScript, AI-Powered Chatbot
A SaaS company that helps fintechs and banks handle regulation was held back by a dated web platform. Support was fully manual, so simple compliance questions sat in a queue.
We rebuilt the platform and added an AI chatbot that answers routine compliance questions around the clock. The bot delivered 24% fewer manual support responses, and the team now creates compliance policy and training content 35% faster. User engagement also rose 40%.
Engineered an AI Chat Assistant for Personalized Learning in 5+ Languages
Technical Stack: LLM-Powered Chat Assistant, Voice Interaction, Content Ingestion Pipeline (Text and Image Extraction), In-Chat Assessments
Teachers could not match every student's pace, and paid tutoring was out of reach for most learners. Students had little help once class ended.
We built an LLM-powered chat assistant that pulls content straight from study materials. Students can use it by voice or text in more than five languages. They now get revision, tests, and mock exams in one chat assistant, available on demand. Engagement went up, and learners rely less on paid tutoring.
Designed for Enterprise Speed and Control
Hiring chatbot talent should never add risk to your roadmap. Our five-step process puts vetted developers on your project fast, while you keep control of data access and scope.
1. Share Your Requirements
Tell us the use case (support, sales, IT helpdesk, or HR), your channels, and the systems the bot must reach. Flag any data rules we need to follow.
2. Get Curated Profiles (Within 24-48 Hours)
Review pre-screened developers who have shipped chatbots to production, with hands-on skill in LLM APIs, RAG, and your platforms.
3. Evaluate and Interview
Run a scenario interview. Ask candidates to design a refund flow, fix a wrong answer from the knowledge base, or plan a human handoff.
4. Onboard and Kickoff (Within 48-72 Hours)
Your developer gets scoped access under your security policies and starts with a review of real chat transcripts in week one.
5. Continuous Support and Scaling
Add conversation designers, QA engineers, or MLOps support as volume grows. We track resolution rates and keep answers current as your products and policies change.
Our Hiring Models
Dedicated AI Chatbot Developers
Best for chatbots that grow over time. Your developer owns the roadmap, from first release to new channels, new intents, and ongoing tuning.
Team Augmentation
Add chatbot developers or conversation designers to your product or support team. Pair them with our LLM engineers when you need custom model work or fine-tuning.
Project-Based Engagement
Hire for a defined scope, such as a support chatbot MVP or a new CRM integration. We also move teams from rule-based bots to LLM bots. You get a fixed plan and clear milestones.
Industries Where Our AI Chatbot Developers Deliver Impact
We serve clients around the world, with a focus on banking, healthcare, retail, and manufacturing. Our chatbot developers build bots that follow each industry's rules on privacy and audits.
Chief Executive Officer
Chief Executive Officer
Looking to Hire AI Chatbot Developers to Cut Support Wait Times?
Book a Free ConsultationFrequently Asked Questions
What does an AI chatbot developer do?
An AI chatbot developer designs, builds, and maintains chatbots that understand plain language and answer from your data. The work covers LLM and RAG setup, conversation flows, CRM and helpdesk integrations, testing, and tuning after launch. Senior developers also set guardrails and handoff rules so the bot stays safe and useful.
How much does it cost to build an AI chatbot?
Most AI chatbot projects cost between $10,000 and $250,000 or more. A focused FAQ bot sits at the low end, and an enterprise bot with RAG, integrations, and security reviews sits at the top. Model usage adds a monthly running cost that grows with conversation volume.
How much does it cost to hire AI chatbot developers?
US job listings for chatbot developers commonly pay $80,000 to $122,000 a year, and senior LLM specialists earn more. Offshore and nearshore rates are lower but vary widely in quality. Our hybrid US and India delivery model gives you senior chatbot talent at a lower total cost. You can hire on dedicated, augmentation, or project terms.
Should I hire an AI chatbot consultant or a developer?
Hire an AI chatbot consultant when you still need to choose use cases, platforms, and success metrics. Hire developers once the scope is clear and you are ready to build. Many teams start with a short consulting phase, then keep the same experts on for development.
What makes an enterprise AI chatbot different from a basic chatbot?
An enterprise AI chatbot connects to live business systems, follows security and privacy rules, and handles thousands of conversations a day. Enterprise bots also use role-based access, PII redaction, audit logs, and human handoff. A basic chatbot usually answers a fixed list of scripted FAQs.
