Product Engineer (Junior) — VenXR
VenXR builds AdsGPT: brands plan, run and optimise their ad campaigns by talking to it. We're hiring a Product Engineer, one to two years in, who builds with LLMs rather than around them.
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 goals, interfaces that assemble themselves from whatever the model surfaced, agents calling real tools against real ad platforms.
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. Everyone does that. 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, interrupts. Not just 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 — knowing whether what you built works, which is harder than building it
What we want is someone who has built at least one real thing with an orchestration framework — past the tutorial, into the part where it broke. Self-taught side projects count; show us.
What You Need
• One to two years shipping product
• React.js, Python with Django — or FastAPI plus the obvious ability to get to Django in a fort
📌 Product Engineer (Pune)
🏢 Venxr
📍 Pune