Kyte App

AI Engineer

• 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

Senior AI Software Engineer