75-day hiring cycles. 38% AI talent gap in GCCs. Your AI roadmap is ready. Your team isn't.
AI-native engineers.
Deployed, not hired.
Forward Deployed Engineers trained on LLMs, RAG, and agentic systems from day one. 30 hours/week in your codebase, on your team, shipping from week one.
Starting at ₹45,000/month. Minimum 3 months. Cancel after.
Usually reply within a few hours.
Why companies deploy FDEs
Average time to hire a specialized AI engineer in India
AI talent gap in Indian GCCs (Quess Corp, Q4 FY26)
From "we need an AI engineer" to your FDE pushing code
What is a Forward Deployed Engineer?
A dedicated AI engineer embedded in your team. They work in your codebase, attend your standups, and ship in your stack. Not a freelancer. Not a body shop. A trained AI specialist, deployed to your project with zero hiring overhead.
Dedicated to you
One engineer, one client. 30 hours/week, Mon-Fri. Not split across 3 accounts.
Your stack, your tools
They work in your codebase, your CI/CD, your Jira. No proprietary platform lock-in.
AI-native from day one
Trained on LLMs, RAG pipelines, agentic systems, and full-stack development. Not retrained generalists.
Engineers deployed at
What our engineers have built.
Real products shipped by Kalvium Labs engineers. AI agents, RAG systems, voice products, analytics platforms, and full-stack applications.
AI-Powered Trading Analytics
Agentic analytics platform built by our engineers. Users query complex financial data in plain English via autonomous AI agent with full reasoning transparency.
Meeting Intelligence Tool
Our engineers built a system that processes meeting recordings with Gemini. Generates summaries, key decisions, and AI-selected key frames.
Try our AI Data Analyst
Built by our engineers. Upload any CSV, ask questions in plain English, watch the AI write SQL and explain the results.
What our clients say.
This is one of the best companies to have work on your vision. Their team is incredibly dedicated, sincere and most importantly, efficient and documentation oriented. They are perfect for asynchronous and remote-work situations, and I cannot recommend them more highly. As someone who has experienced the worst of dev shop experiences in many different scenarios, I discovered Anil and his team to be the reliable and trusted tech partners that I wish I had found 10 years ago!
The team displayed superb proficiency and professionalism. What impressed us most was the team's ability to fully grasp user requirements and translate them into practical, scalable solutions. We truly value this partnership and are highly impressed with the precision and quality of work delivered.
How FDE deployment works.
No 75-day hiring cycle. No 6-round interview gauntlet. From first call to your engineer pushing code in under two weeks.
Tell us what you need
30 min callWhich skills, what domain, how many engineers. We ask about your stack, your team structure, and what "good" looks like in 90 days.
We match an engineer
3-7 daysFrom our bench of 200+ AI-native engineers, we find the right fit for your stack and domain. You interview them. You decide.
Your FDE starts shipping
Week 1They join your standups, push to your repo, and work your hours. Remote-embedded from day one. On-site when you need it.
Scale up or down
OngoingNeed another engineer? Add one. Project wrapping up? Wind down after the 3-month minimum. No long-term lock-in.
One model. Transparent pricing.
Every FDE engagement is priced per engineer, per month. No hidden fees. No platform charges. You pay for the engineer, and they work for you.
A dedicated AI engineer on your team
One engineer, dedicated to your project. 30 hours/week (Mon-Fri, 12-6 PM + your team meetings). They work in your codebase, attend your standups, and ship production code.
What's included:
- Dedicated engineer, 30 hrs/week (one client only)
- Works in your tech stack and tools
- AI-native: LLMs, RAG, agents, full-stack
- Remote-embedded (on-site available)
- Scale up: add more FDEs as you grow
- Zero HR overhead: no benefits, equity, or notice period
FDE vs hiring vs staffing agency
+ 75-day hiring cycle + benefits + notice period + attrition risk
Generalist developers, not AI-specialized. Retrained, not trained.
US-tier billing, even for India-sourced talent. 20-60x our rate.
AI-native from day one. Deployed in under 2 weeks. Cancel after 3 months.
Why the price works: Our engineers come from India's first AI-native engineering program. Purpose-trained, not retrained. The pipeline is the product.
Stop hiring.
Start deploying.
Tell us what you're building, how many engineers you need, and when you need them. We'll match an AI-native engineer to your stack and have them ready in under two weeks.
Talk to Us on WhatsAppUsually reply within a few hours.
Prefer email? hello@kalviumlabs.ai
Want to see what we've built first?
View case studies →What deploying an FDE looks like:
You tell us what you need
Stack, domain, experience level, number of engineers
You interview the engineer
Your standards, your bar. We shortlist, you decide.
They start shipping
In your repo, your standups, your Slack. Week one.
Scale or wind down
Add more engineers or wrap up after the 3-month minimum.
3-month minimum. One engineer, 30 hrs/week, dedicated to you.