Rohit delivered our MVP in 5 weeks — on budget and ahead of schedule. His architecture decisions saved us from rewriting everything when we scaled.
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Senior AI Engineering, a Few Days a Week — Without the Full-Time Hire
You have real AI work to ship, but not enough to justify a permanent senior salary. A fractional AI engineer gives you consistent, senior-level delivery on a part-week retainer.
The Problem
Somewhere between 'we should use AI' and 'we have a full AI team' is where most companies actually live: a backlog of LLM features, an agent idea that would save real money, a RAG search that half-works. A full-time senior AI engineer is a large salary plus months of hiring. Interns and generalist freelancers produce demos that collapse under real users. The fractional model fixes the mismatch — you buy two or three days a week of someone who has shipped production AI, and the backlog actually moves.
What You Get
- ✓A senior AI engineer on retainer — consistent days each week, not ad-hoc task work
- ✓Production delivery: AI agents, LLM features, RAG pipelines, workflow automation
- ✓Claude Code consulting: agentic development workflows, custom skills, MCP tooling for your engineering team
- ✓Evals and monitoring for every system shipped — you can see it working
- ✓Embedded ways of working: your repo, your Slack, your standup
- ✓Priority ordering of your AI backlog by ROI, revisited monthly
- ✓Zero lock-in: documented handoff whenever you hire full-time
Tech Stack
Claude APIClaude CodeAI AgentsRAGMCPTypeScriptPythonPostgreSQL
Timeline
Ongoing retainer, 2-3 days/week
Frequently Asked Questions
What exactly does 'fractional' mean here?
You hire a fraction of my week — typically two or three fixed days — on a monthly retainer. Those days are yours: same standups, same repo, same accountability as an employee, without the full-time salary, equity, or hiring pipeline. I work with a small number of clients at once so each gets real, focused days rather than context-switched hours.
How is a fractional AI engineer different from a freelancer?
A freelancer completes tasks you define. A fractional engineer takes ownership of outcomes: I help decide what to build, build it, measure it in production, and iterate. The engagement is continuous rather than gig-shaped, which matters for AI systems — they need tuning after contact with real users, and a task-based freelancer is gone by then.
Can you train my existing team on Claude Code and AI-assisted development?
Yes — this is an increasingly common part of engagements. I set up Claude Code for your team: custom skills for your codebase, MCP servers for your internal tools, agent workflows for repetitive engineering work, and guardrails so AI-written code meets your review bar. Your engineers ship faster with AI instead of watching me do it.
Do you work with companies outside India?
Yes — I'm based in Pune, India and work remote-first with companies worldwide. For US and EU clients that means significant daily timezone overlap plus async written updates. Contracts and IP assignment are structured for international engagements; NDAs signed before any scoping conversation.
When should I hire full-time instead of fractional?
When the AI workload consistently fills a full week and shapes your core product roadmap, hire full-time — and I'll help you do it: writing the job spec, interviewing candidates, and handing over a documented, monitored system rather than a mystery codebase. Fractional is the bridge that gets you to that point without burning a year of salary finding out.
Testimonials
What Clients Say
We needed a WhatsApp bot for our clinic chain. Rohit understood the problem immediately and shipped a working solution that our staff could use without training.