Senior AI Engineer - Agentic Orchestration

Hiring for: A US based well funded startup building low-latency, agentic voice AI systems at production scale. Role: Senior AI Engineer Agentic Orchestration Experience: 7+ years Location: Bengaluru Type: Hybrid - 3 days Work From Office Notice: Immediate preferred, no longer than 30 days Salary: Based on fitment (70L range + massive ESOPs) Role: Building and scaling production-grade AI agent systems, working closely with senior engineers and leadership. This role focuses on implementing and improving agent workflows, execution pipelines, and system reliability, rather than owning the entire control plane. What Youll Do Build and maintain multi-step AI agent workflows that coordinate LLMs, tools, and APIsImplement execution pipelines for agents interacting with external systems and servicesContribute to the orchestration layer (control flow, tool execution, state handling)Work on agent reliability retries, fallbacks, and failure handlingIntegrate LLMs with APIs, databases, and internal servicesImprove latency, scalability, and observability of AI systemsCollaborate on design decisions with senior/principal engineersParticipate in production debugging, monitoring, and incident resolution Youre Strong At Building production AI/LLM applications (not just prototypes)Working with LLMs, APIs, and tool integrationsDesigning multi-step workflows or pipelinesWriting clean, scalable backend systems (Python/Go/Node)Debugging and improving system reliability and performanceUnderstanding of how systems fail and how to handle edge casesAgent frameworks (LangGraph, LangChain, AutoGen, CrewAI, etc.)Workflow orchestration concepts (RAGs, pipelines, schedulers) Good to Have Experience with event-driven systems (Kafka, queues, async processing)Basic understanding of:-retries / idempotency -observability / logging -distributed systems This is NOT for you if You are purely a data scientist or ML researcherYou have not built or shipped production systemsYou are looking for a people management role Hiring for: A US based well funded startup building low-latency, agentic voice AI systems at production scale. Role: Senior AI Engineer Agentic Orchestration Experience: 7+ years Location: Bengaluru Type: Hybrid - 3 days Work From Office Notice: Immediate preferred, no longer than 30 days Salary: Based on fitment (70L range + massive ESOPs) Role: Building and scaling production-grade AI agent systems, working closely with senior engineers and leadership. This role focuses on implementing and improving agent workflows, execution pipelines, and system reliability, rather than owning the entire control plane. What Youll Do Build and maintain multi-step AI agent workflows that coordinate LLMs, tools, and APIsImplement execution pipelines for agents interacting with external systems and servicesContribute to the orchestration layer (control flow, tool execution, state handling)Work on agent reliability retries, fallbacks, and failure handlingIntegrate LLMs with APIs, databases, and internal servicesImprove latency, scalability, and observability of AI systemsCollaborate on design decisions with senior/principal engineersParticipate in production debugging, monitoring, and incident resolution Youre Strong At Building production AI/LLM applications (not just prototypes)Working with LLMs, APIs, and tool integrationsDesigning multi-step workflows or pipelinesWriting clean, scalable backend systems (Python/Go/Node)Debugging and improving system reliability and performanceUnderstanding of how systems fail and how to handle edge casesAgent frameworks (LangGraph, LangChain, AutoGen, CrewAI, etc.)Workflow orchestration concepts (RAGs, pipelines, schedulers) Good to Have Experience with event-driven systems (Kafka, queues, async processing)Basic understanding of:-retries / idempotency -observability / logging -distributed systems This is NOT for you if You are purely a data scientist or ML researcherYou have not built or shipped production systemsYou are looking for a people management role