Tradl AI · Bengaluru, Karnataka, India
Skills: Python
About TRADL AI TRADL AI is building India's first AI trading co-pilot for 100M+ traders.
Today, we convert natural language into verified, code-backed stock intelligence - no hallucinations, no black boxes. Tomorrow, we're building the full stack: real-time chart intelligence, autonomous research agents, and portfolio-aware execution. We're turning what institutional desks spend millions on into a conversation anyone can have. We're live, growing fast, and the hardest technical problems are still ahead of us.
Why This Role Exists TRADL's AI capabilities are expanding faster than a single team can ship. We need someone who can operate across the stack, from fine-tuning models and building agentic workflows to wiring those capabilities into the product. This isn't a shadow-and-observe internship. You'll own real features, push to production, and work directly with the engineering team on problems that don't have textbook answers.
Specialisation Tracks
Track A: Claude Code & AI Tooling. You understand agentic workflows, build with skills and sub-agents, configure memory via CLAUDE.md, manage context windows deliberately, wire up MCP servers, and use hooks to intercept and extend Claude Code's behaviour. Track B: Model Fine-Tuning. You've fine-tuned at least one model end-to-end, from data preparation through training to evaluation. You understand the difference between full fine-tuning, LoRA, and QLoRA, know when to apply SFT vs alignment methods like DPO, and can interpret a training run beyond just watching the loss go down. Track C: Both (PREFERRED) You can set up a LoRA fine-tuning run and use Claude Code agents to automate the evaluation pipeline around it. You've wired hooks, managed context with CLAUDE.md skills, and spun up MCP integrations, while also understanding what's happening inside the model.
What We're Looking For
Python proficiency. Clean, modular code beyond notebooks. Scripts, modules, CLI tools. Claude Code working knowledge. You've used it for real task…
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