AI Project LeadLocation: Kochi, India | Type: Full-timeThe RoleWe're building an AI practice from scratch — shipping AI agents that connect to enterprise systems like SAP and help businesses automate complex workflows through conversation. We need someone to own this end-to-end: lead the technical direction, manage a small dev team, ship products, and interface directly with the CEO and our AI Strategy Advisor.This is a builder-leader role. You'll write code, architect systems, AND run the team. If you want a pure management position where you attend meetings and review Jira boards, this isn't it.What You'll Own
Technical direction for all AI agent products (architecture, stack decisions, quality)
Delivery of AI agents from prototype to production.
A team of 2 mid-level developers: mentoring, code review, sprint priorities, unblocking
Integration layer between AI (LLMs, agent frameworks) and enterprise systems (SAP RFC/BAPI, MCP, Dynamics, Oracle)
Product conversations with the CEO — translating business needs into technical plans
Development culture: AI-first workflows, Claude Code as default, fast iteration, shipping over perfection
What We Need
5+ years of software development experience with at least 1–2 years leading a small team or project
Strong backend: .NET/C#, Python, or TypeScript — you can build and ship, not just delegate
Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI) — you've built something real with them, not just experimented
Daily user of AI coding tools (Claude Code, Cursor, Copilot, SpecKit) — this is how we work
Experience designing and consuming APIs and integrations (REST, RFC, webhooks)
SQL databases — can write complex queries, understands optimization
Can communicate clearly with non-technical stakeholders — the CEO is your main counterpart
Strong Advantages
SAP experience (FI/CO module, BAPIs, RFC, OData) — this is a major differentiator
Experience with agent frameworks (LangGraph, Semantic Kernel, AutoGen, CrewAI)
MCP (Model Context Protocol) knowledge
Has shipped a product or feature to real end users (not just internal tools)
DevOps/CI/CD ownership
What You Get
Full ownership of a new AI practice — you shape it, you build it, you run it
Direct line to the CEO, no middle management layers
Small team that ships fast — no bureaucracy
Competitive salary based on experience
Real impact: your work goes to customers, not into a backlog
How We'll Evaluate You
Technical conversation — Walk us through something you built with AI. Show us how you think about architecture, tradeoffs, and shipping.
Live build — Using Claude Code or your preferred AI tool, extend a simple agent prototype. We're watching your workflow, not testing your memorization.
Leadership scenario — A junior dev is stuck on an integration, a deadline is tight, and the CEO wants a status update. How do you handle the next 2 hours?
