AI Product Engineer in DLF Phase 2
The hard part of AI products isn't the model call — it's deciding what to build and shipping something reliable enough that users trust it. For DLF Phase 2 teams, that's the job I do end to end.
- Free strategy call
- Transparent pricing
- No lock-in contracts
- Proven results
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Tell me about your goals — I'll reply within 24 hrs.
Product first, model second
I scope from your DLF Phase 2 users' actual need, decide where AI genuinely helps, and build the full feature — prompt design, backend, frontend UX and monitoring — as one connected piece of work. The hard part isn't the model call; it's deciding what to build and shipping something reliable enough that DLF Phase 2 users trust it.
What's included
Product scoping and UX design
Scoping that starts from your DLF Phase 2 users' actual problem — without assuming AI is automatically the right answer.
Scoping activities
- User research and problem definition
- UX design for AI-native interaction patterns
- Build-vs-buy and AI-vs-rules decision framing
Full-stack delivery
Prompt design through to frontend, delivered as one connected build for your DLF Phase 2 product — not a prototype thrown over the wall to engineering.
Evaluation metrics and feedback loops
Evaluation and user feedback loops built in from day one, so quality for your DLF Phase 2 users is measured, not assumed.
Fast prototypes, production-hardened launches
A rapid prototype to validate the idea with real DLF Phase 2 users, followed by a hardened build once direction is confirmed.
How the engagement runs
Process
Discovery & scoping
Understanding your DLF Phase 2 users and deciding where AI actually adds value, before any build begins.
Prototype
A fast, testable prototype to validate the concept with real DLF Phase 2 users.
Harden & launch
Production build with monitoring and evaluation, ready for real DLF Phase 2 traffic.
Who this is for
Product teams with an AI feature idea
DLF Phase 2 teams that know they want an AI feature but need help scoping and shipping it end-to-end.
Engineering teams needing an AI specialist
DLF Phase 2 businesses that want to plug an AI product specialist into an existing team, not hire a whole new function.
Tools & technology
Stack
Frontend & backend
Next.js/React, Node or Python, OpenAI/Anthropic APIs or open-source models
Selected per task for your DLF Phase 2 product's needs.
Note
Available either as an embedded specialist inside your DLF Phase 2 team or as the owner of the full product build end to end.
Why DLF Phase 2 teams choose Deepak Suhag
AI features shipped end-to-end — from prompt design to production monitoring — by someone who scopes the product problem first.
How it works
Simple, transparent process — from first contact to measurable results.
Discovery Call
30-minute deep dive into your business, goals, and current marketing channels. No prep needed.
Strategy Blueprint
Full-funnel channel map, budget allocation, KPIs, and a 90-day growth roadmap.
Hands-on Execution
Campaign setup, conversion tracking, creative briefs, and continuous A/B testing.
Scale & Optimise
Weekly ROAS reports, budget reallocation, and monthly strategic reviews.
Tools & platforms
The exact stack I use daily across growth marketing, web development, AI, and automation — no guesswork, no vendor lock-in.
Why work with Deepak
Here's what makes this different from every other option in DLF Phase 2.
Practitioner, not a consultant
I manage live campaigns daily — not just strategy decks. Your budget is treated like my own money.
Full-funnel accountability
From first click to closed deal. I track CAC, LTV, and ROAS — not just impressions or CTR.
AI & automation-first approach
I build marketing systems that scale without scaling headcount — using n8n, Make, and AI integrations.
No agency layers
No account managers, no junior execs. You work directly with me — every strategy call, every week.
Everything you need to know
Still have a question that isn't answered here? Reach out directly — I respond to every inquiry personally.
Ask a question01Do you build the whole product or just the AI feature for DLF Phase 2 clients?
Either — I can own a single AI feature inside your existing product, or build the full product end to end.
02What's your tech stack?
Next.js/React on the frontend, Node or Python on the backend, and OpenAI/Anthropic APIs or open-source models depending on the task.
03How do you decide if AI is the right solution?
I start by scoping the user problem without assuming AI is the answer — sometimes a simple rule beats a model.
04Can you join an existing DLF Phase 2 engineering team?
Yes — I regularly plug in as the AI specialist inside an existing team, not just as an outside vendor.
I've spent 10+ years managing campaigns across D2C, B2B, and SaaS — from small monthly budgets to large seven-figure spends. What I've learnt: most businesses don't need more ad spend. They need smarter systems. That's what I build.