About the job
We are building a production Voice AI Orchestrator — a system where LLM agents listen, reason, and respond in real time across voice and messaging channels. As an AI Engineer, you will design and build LLM-powered agent systems, orchestration frameworks, and real-time voice pipelines. This is not a wrapper role — you will own the AI system architecture end-to-end, from agent design and evaluation to production reliability. Key Responsibilities: • AI Agents & Orchestration - Design and build multi-agent systems using frameworks like LangGraph and LangChain. - Implement orchestration workflows with branching logic, retries, and parallel tool calls. - Build intelligent pipelines with custom tools, memory layers, and dynamic routing. • Voice AI Systems - Build real-time voice AI pipelines (STT → LLM → TTS) optimized for low latency. - Integrate telephony systems via Twilio, WebRTC, and SIP. - Engineer conversational voice experiences that perform reliably in production. • LLM Reliability & Evaluation - Design LLM evaluation pipelines including regression testing and adversarial evaluation. - Build guardrails, output validation, and fallback routing for reliable AI behavior. - Implement observability and monitoring for LLM systems. • Retrieval & Knowledge Systems - Build RAG pipelines for intelligent knowledge retrieval. - Implement hybrid search, re-ranking, and context compression strategies. - Work with vector databases and embedding systems. • Backend & System Integration - Integrate AI systems with Java / Spring Boot backend services. - Implement WebSocket and asynchronous APIs for real-time agent communication. - Build scalable and reliable system architectures.
About the company
Ignosis is a well-funded fintech infrastructure company building intelligent systems for the BFSI ecosystem. Backed by reputed investors, we focus on financial data intelligence, hyper-personalization, automation, and democratized credit access.
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