Requirements

4+ years of software engineering experience with strong Python expertise

Must have built and deployed AI agents in production for real users

Experience operating as an early or founding engineer in a startup is a strong plus

Strong experience with LangGraph, LangChain, agent orchestration, tool calling, and evaluation frameworks

Hands-on experience building production-grade RAG and retrieval systems

Deep understanding of context engineering, prompt engineering, and agent architecture

Strong knowledge of FastAPI, asynchronous programming, and scalable backend systems

Experience optimizing AI systems for cost, latency, reliability, and quality

Strong understanding of model routing, caching, token optimization, and AI infrastructure

Ability to evaluate and improve AI user experiences

Excellent communication and stakeholder management skills

Ability to thrive in a fast-paced startup setting with high ownership Responsibilities

Join the founding team and help shape the AI strategy, architecture, and technical roadmap





Own the AI layer end-to-end across the product

Build systems that provide deep product context to AI agents

Design and improve retrieval, context, memory, and reasoning pipelines

Optimize model performance, latency, reliability, and cost

Build and improve evaluation frameworks for subjective AI workflows

Enhance the overall AI user experience, including streaming and failure handling

Monitor production AI systems and continuously improve outcomes

Collaborate directly with the CTO on product and technical decisions

Stay updated with the latest AI advancements and rapidly adopt relevant innovations

Drive AI architecture decisions that create long-term product differentiation Job Details

Location: HSR Layout, Bengaluru

Job Setup: Work From Office - 5 Days a Week Interview Process

Technical Round 1

Technical Round 2

Assignment Round (If Applicable)

Final Discussion with CTO

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 ClanX
📍 Bengaluru