AI Engineer (Hyderabad)

AI Engineer (Hyderabad)

16 Sep
|
Gradientflo Labs
|
Hyderabad

16 Sep

Gradientflo Labs

Hyderabad

Role Overview
You will be the intelligence architect of Vibecoderz. As the AI Engineer, you’ll design, implement, and optimize the multi-agent orchestration system that powers the TutorAgent, PlannerAgent, ScreenPerceptionAgent, and CodeAgent.
This is not a research-only role. It’s applied AI at scale: integrating Gemini models, Pub/Sub protocols, LangSmith evals, and Neo4j graphs into a production-grade learning platform. You’ll work closely with Backend, Prompt, and Frontend engineers to ensure AI capabilities feel seamless, fast, and trustworthy for 150M+ developers worldwide.
You’ll use Linear for task management, Notion for specs and experiments, and GitHub for code reviews, making the AI system’s evolution transparent and cooperative.
Key Responsibilities
- Multi-Agent Orchestration - Implement TutorAgent and sub-agents using the Google Agent Development Kit (ADK), ensuring modularity and reliability.
- Model Integration - Integrate Gemini Pro, Gemini Vision, and Gemini Live API for multimodal reasoning (text, vision, voice).




- Communication Protocols - Design and maintain Agent-to-Agent (A2A) communication via Google Pub/Sub. Guarantee low-latency, async messaging.
- Context & Memory Systems - Build working memory in Redis, long-term user data in Firestore, and Developer Graph in Neo4j to support adaptive tutoring.
- Artifact Generation - Collaborate with Prompt Engineers to refine artifact workflows: slides, quizzes, code snippets, and runnable mini-apps.
- Evaluation & Guardrails - Build evaluation pipelines in LangSmith/Langfuse to test prompt stability, reduce hallucinations, and monitor drift.
- RAG & Vibe Browser - Integrate retrieval-augmented generation (RAG) pipelines with GitHub docs, StackOverflow, and MDN for contextual support.
- Adaptive Learning Loops - Implement performance-tracking systems that adapt course flow based on learner progress and quiz outcomes.
- Scaling & Optimization - Benchmark and optimize model selection via hybrid routers

📌 AI Engineer (Hyderabad)
🏢 Gradientflo Labs
📍 Hyderabad

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