Home/Jobs/Lead AI Engineer Lead AI Engineer Invorto Bengaluru 3-7 years Today $26.5K–42.2K/yr Full-time Onsite Skills Required LLM RAG Agentic AI Vector Database LangChain LlamaIndex OpenAI Anthropic Embeddings Prompt Engineering multi-agent systems Python Node.js TypeScript Pinecone Description Invorto is hiring a Lead AI Engineer to design, build, and deploy production-grade AI-powered systems. The role focuses on LLMs, Retrieval-Augmented Generation, agentic workflows, and scalable backend infrastructure.

Company: Invorto Role: Lead AI Engineer Location: Bangalore, Karnataka, India Experience 3–7 years of experience

2–7 years of software engineering experience Responsibilities Design and implement AI-powered applications using LLMs and modern AI frameworks

Build and optimize RAG pipelines

Develop and orchestrate agentic AI workflows and multi-agent systems

Integrate LLMs with backend services, APIs, databases, and vector stores

Develop scalable backend systems

Optimize prompts, system design, and inference pipelines for performance and cost

Deploy AI solutions to production environments

Monitor, evaluate, and improve AI system performance

Collaborate cross-functionally with product, design, and engineering teams Additional Responsibilities Work on intelligent applications that leverage LLMs, autonomous agents, and scalable infrastructure Nice To Have Experience building or integrating Voice AI stacks

Speech-to-Text tools such as Whisper or Deepgram

Text-to-Speech tools such as ElevenLabs or Azure TTS

Real-time streaming pipelines

Conversational voice agents

Experience fine-tuning or working with open-source LLMs





Experience with monitoring LLM performance and guardrails

Knowledge of CI/CD and DevOps practices

Experience building AI products in production environments More Skills Retrieval-Augmented Generation (RAG), Weaviate, FAISS, Milvus, Agent frameworks, AutoGen, CrewAI, Multi-agent orchestration systems, LLM APIs, open-source models, FastAPI, Django, Express, microservices, React, Next.js, AI-integrated UX systems, evaluation techniques, AWS, GCP, Azure, system design, scalable architectures, backend engineering, cloud-native, LLM performance monitoring, guardrails, CI/CD, DevOps Other Solid problem-solving and system-thinking mindset

Ability to rapidly prototype and iterate AI solutions

Product-oriented thinking

Ownership mindset

Ability to work in fast-paced environments

AWS preferred Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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