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Role Overview

Design and evolve conversational agents in production at high volume, with WhatsApp as the primary channel
Orchestrate multi-agent systems: intent routing, handoff, session management, memory and failure recovery
Develop tools and MCP servers that connect agents to the business domain
Instrument LLM observability (Langfuse / LangSmith / OpenTelemetry): cost, latency, tool-call rate and production quality
Build and maintain automated evals — no prompt or model change goes live without measurement
Integrate multiple LLM providers (OpenAI, Anthropic, Groq) with fallback strategies and cost controls
Implement RAG pipelines (embeddings, pgvector, reindexing)
Create and maintain Claude Code skills, subagents and workflows that automate the delivery cycle
Ensure reliability: rate limiting, durable queues, anti-bot guardrails, error tracking
Operate agents on Kubernetes: GitOps deployments, resources, metrics and manifests
Collaborate with product and design during discovery

Tech Stack

Kubernetes
Postgres
Python

Kyte App

Open Positions (1)

Engineering

Senior AI Software Engineer