Work with Prakash Tank, an AI Engineer and Full-Stack Architect based in Ahmedabad. Get production AI features wired into Laravel and Node.js products, or hire dedicated capacity for your AI roadmap.
Hiring an AI developer should not mean buying a demo chatbot. You need someone who understands SaaS architecture, data boundaries, user experience, and the practical limits of LLMs.
I help startups and product teams hire AI delivery capacity for RAG assistants, generative features, agents, OpenAI and Claude integrations, and AI SaaS workflows. The work is grounded in Laravel, Node.js, React, and production engineering habits from 10+ years of shipping software. When the AI workload fits Python best, we use a FastAPI sidecar next to the product API.
Based in Ahmedabad, I work remotely with India and global clients. You can hire me for a fixed AI project, an MVP sprint, or dedicated ongoing ownership of your AI roadmap.
If you searched for hire AI developer, hire generative AI developer, or an AI development consultant, this page explains what you get, how engagement works, and how to start.
Not a chatbot toy. Production AI features that fit SaaS products and business workflows.
Answers over policies, tickets, manuals, and product knowledge with retrieval, citations, and safe fallbacks.
Support and internal assistants with conversation history, admin rules, and human handoff when confidence is low.
Tool-using workflows for search, database lookups, email, or operations, with review gates for risky actions.
Drafts, summaries, content assists, and GenAI product surfaces with constraints and quality checks.
React or Next.js UI, Laravel or Node APIs, queues, logging, and model wiring from one accountable engineer.
Token budgets, safer data handling, monitoring, and evaluation habits treated as product requirements.
Laravel or Node keeps the product API. FastAPI owns RAG, LLM orchestration, and AI workers.
See Python AI Development for the FastAPI AI backend detail, or FastAPI Development for the API framework focus.
The AI and full-stack tools used to ship the work.
Dedicated hire, project delivery, MVP sprints, and the AI capabilities that usually come with the engagement.
Ongoing remote capacity for your AI product roadmap: features, reviews, iterations, and ownership alongside your team.
Fixed-scope builds for chatbots, RAG modules, OpenAI or Claude integrations, and automation flows with a clear done state.
A focused 2 to 6 week sprint to validate an AI SaaS idea: architecture, core workflow, review UI, and a shippable first version.
Ground answers in your policies, tickets, manuals, and product docs so the assistant helps instead of hallucinating.
Content, summaries, drafts, and assistive GenAI features inside the product UI with constraints and quality checks.
Tool-using workflows for lookups, search, email, or approvals, with gates where business risk is high.
UI, API, queues, databases, and model wiring from one engineer so you avoid fragmented handoffs across three roles.
Token budgets, safe data handling, logging, and practical eval loops so AI features stay affordable and trustworthy.
Choose how we work based on roadmap urgency, scope clarity, and ownership needs.
Best when AI is on the roadmap for months and you want one remote engineer owning delivery with your product team.
Best for a defined chatbot, RAG module, API integration, or automation flow with a clear done state.
Best for validating an AI SaaS idea in weeks: architecture, core workflow, review UI, and a shippable first version.
A simple path from first message to a clear milestone.
Share the product, user problem, data sources, and whether you need hire capacity or a fixed project.
We confirm AI is the right tool, estimate risk around accuracy and cost, and pick an engagement model.
Agree stack boundaries, retrieval needs, human review points, and the first shippable milestone.
Implement with visible progress, staging checks, and feedback loops on answer quality and UX.
Release with monitoring, token awareness, and documentation your team can maintain.
Extend into dedicated hire, next features, or a clean handover with prompts and ops notes.
Local presence for India clients, asynchronous delivery for global product teams.
Based in Ahmedabad, Gujarat, with India-friendly collaboration and clear written updates.
Overlap hours for US, UK, and EU teams plus Slack, GitHub, and issue tracking for async speed.
Architecture, implementation, review, and handover, not only prompt experiments.
Use the contact form with category AI. Mention dedicated hire, project, or MVP sprint, plus your product and timeline.
Want capability detail first? Review AI Integration Services, then come back here to hire. For last-mile embeds, use Hire Forward Deployed Engineer.
If the engagement is an embed in your repo, a paid audit, or a 4-week last-mile sprint rather than a broader AI hire menu, continue to AI-first Forward Deployed Engineer and Hire Forward Deployed Engineer.
Guides connected to AI SaaS, hiring context, and production AI delivery.
A practical, 1,700+ word engineering rollout strategy for introducing AI features to an existing, revenue-generating Laravel SaaS application — covering risk classification, feature flagging with Laravel Pennant, shadow mode testing, human review gates, and production monitoring.
A comprehensive, 1,700+ word architectural decision guide comparing FastAPI and Laravel for AI backends — evaluating hosted API orchestration, local ML ecosystem access, database integration, async performance, and hybrid architectures.
What AI Developer Ahmedabad means in practice: local collaboration for Gujarat/India teams plus remote delivery habits for global SaaS products.
Common questions about dedicated hire, generative AI work, Laravel AI integration, Ahmedabad availability, and cost factors.