AI Engineer - Voice AI, LLM Agents & Orchestration
Ignosi Systems · Ahmedabad · onsite · Posted 8d ago
Undisclosed2–7 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
AI Agents Orchestration
Voice AI Systems
LLM Reliability Evaluation
Retrieval Knowledge Systems
Backend System Integration
Experience
Agents Framework
LLM Engineering
Voice AI
Backend
AI Infrastructure
Who We Are Looking For
Nice to Have
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
AI Engineer - Voice AI, LLM Agents Orchestration
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.
We are looking for engineers who have built and shipped AI systems in production, understand the challenges of non-deterministic LLM outputs, and enjoy solving complex real-world engineering problems.
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.
Experience
- 2+ years of software engineering experience
- Experience building AI or LLM-based applications
- Prior experience deploying LLM agents or AI pipelines into production environments
Agents Framework
Experience with one or more: LangChain / LangGraph / LlamaIndex / CrewAI / Haystack / Semantic Kernel
LLM Engineering
- OpenAI APIs / GPT models
- RAG (Retrieval-Augmented Generation)
- Prompt engineering and context design
- Function calling and structured outputs
- LLM evaluation and reliability techniques
Voice AI
STT / TTS systems/Whisper/Deepgram/ Azure Speech/Google Speech/Real-time voice pipelines/Telephony integration (Twilio, WebRTC, SIP)
Backend
Java Spring Boot WebSockets Async / Multithreading REST APIs
AI Infrastructure
- Vector Databases Embeddings Semantic Search
- Pinecone Qdrant Weaviate Milvus FAISS
Who We Are Looking For
- Engineers who have shipped AI systems to production
- Builders who think in systems - latency, evaluation, reliability
- People who understand that prompt engineering is engineering
- Engineers comfortable working in fast-moving, ambiguous environments
- Individuals who take full ownership from idea to production
Nice to Have
- Experience with open-source LLMs (Llama, Mistral, Gemma)
- Familiarity with LangSmith, Helicone, or LLM observability tools
- Experience with real-time voice or telephony AI
- Contributions to open-source AI tools
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Java Spring BootAutomationAI infrastructureCompressionLlamaCrewaiapisfinancial dataFAISSai engineerKernelbfsiEmbeddingsLow LatencyLarge Language Models (LLMs)AsynchronousFintechAI ToolsJavaArchitecturehyperMicrosoft AzureLangchainArtificial Intelligence
About Ignosi Systems
Ignosi Systems
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₹17.5L PA avg
Avg at Ignosi Systems
About
Ignosis develops artificial intelligence and advanced technology solutions for enterprise applications. The company focuses on AI-driven automation, machine learning, and intelligent digital products. Its services help organizations improve efficiency and decision-making. Ignosis operates at the forefront of emerging technology innovation.
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