Product Engineer (Senior) — Venxr
Venxr builds AdsGPT: brands plan, run and optimise their ad campaigns by talking to it. We're hiring a Senior Product Engineer who builds with LLMs rather than around them — and can tell whether what they built actually works.
What You'll Build
Features, end to end — from a half-formed idea to production, and you own what happens after it ships. Most of what you build will have a model in the loop: campaign planning that reasons about a brand's goal, interfaces that assemble themselves from whatever the model surfaced, agents calling real tools against real ad platforms.
At this level you also own the shape of things: the architecture calls that are expensive to reverse, the evaluation discipline that tells us whether an AI feature actually works, and the bar everyone else codes to.
Tech Stack
Frontend: React.js
Backend: Python, Django
AI: Claude and other frontier models, LangChain / LangGraph, MCP
AI-native, and we mean it literally
Most job ads get this wrong, so plainly: using Claude to write code is not what we mean.
We mean LLMs as the material the product is built from. You'll need working knowledge of:
• Fundamentals — tokens, context windows, cost, latency, structured outputs, why a confident model is often wrong
• Orchestration — LangGraph or equivalent: state, nodes, conditional routing, persistence, interrupt. Not prompts in a for loop
• Multi-agent patterns — when splitting work across agents helps, and the commoner case where it just multiplies failure modes
• Context engineering — what the model sees at each step: retrieval, compaction, selective injection. Where most of the quality lives
• Memory management — multi-turn state without the window or the bill growing unbounded
• MCP — connecting models to tools and APIs
• Evaluation — golden sets, regression gates, and knowing the true quality of a system that answers differently every time. Harder than building it, and where most teams quietly give up
• Guar
📌 Product Engineer (Pune)
🏢 Venxr
📍 Pune