? About Feather
Feather is building AI agents that do real work for enterprises.
Not chatbots. Not IVR. Not copilots.
Autonomous agents that can reason, take actions, communicate across channels (voice, text, email), and complete end-to-end business workflows.
We operate at the intersection of LLM reasoning, real-time communication, and production system orchestration — enabling companies to deploy AI employees across sales, support, operations, and collections.
Feather is building the infrastructure and runtime layer that makes autonomous agents production-ready across communication channels.
We’re backed by leading investors and already at $1M+ ARR, scaling quickly into enterprise deployments.
? What You’ll Do
Agent Runtime & Cognition Systems
- Design and build the core runtime that powers autonomous AI agents
- Architect systems for reasoning loops, planning, tool use, and memory
- Enable agents to execute multi-step workflows across business systems
Multi-Channel Communication Infrastructure
- Build systems enabling agents to operate across voice, SMS, chat, and email
- Develop real-time conversation pipelines and turn management
- Handle interruptions, context switching, and long-running dialogues
Orchestration & Workflow Execution
- Develop agent orchestration layers for async and long-lived tasks
- Build DAG/workflow systems coordinating agent decisions and actions
- Enable outcome-based automation (not just conversations)
Applied LLM Systems
- Integrate frontier models into production agent systems
- Build prompt pipelines, evaluation harnesses, and guardrails
- Design reliability layers: fallbacks, retries, human handoffs
Distributed Systems at Scale
- Architect event-driven systems handling millions of agent actions
- Build job queues, schedulers, and execution pipelines
- Optimize latency, throughput, and infrastructure cost
? What We’re Looking For
Core Engineering Depth
- 3–7 years building scalable backend or distributed systems
- Solid ex
📌 Backend + AI Engineer (Delhi)
🏢 Feather
📍 Delhi