About the Role We are looking for a passionate AI Engineer with 3–7 years of experience to design, build, and deploy AI-powered systems. The ideal candidate should have hands-on experience with Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and multi-agent systems, along with strong backend engineering expertise. You will work on building intelligent applications that leverage LLMs, autonomous agents, and scalable infrastructure to deliver production-grade AI solutions.Key Responsibilities Design and implement AI-powered applications using LLMs and modern AI frameworks Build and optimize Retrieval-Augmented Generation (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 (cloud-native preferred) Monitor, evaluate, and improve AI system performance Collaborate cross-functionally with product, design, and engineering teamsRequired Skills & Qualifications 2–7 years of software engineering experience Strong proficiency inPython(preferred) or Node.js/TypeScriptHands-on experience with: Retrieval-Augmented Generation (RAG) Vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) Agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, etc.) Multi-agent orchestration systems Experience integrating and working with LLM APIs (OpenAI, Anthropic, open-source models) Solid backend experience (FastAPI, Django, Express, microservices)OR Strong frontend experience (React, Next.js, AI-integrated UX systems) Understanding of embeddings, prompt engineering, evaluation techniques Experience deploying applications on AWS/GCP/Azure. AWS prefered Good understanding of system design and scalable architecturesGood to Have Experience building or integratingVoice AI stacks Speech-to-Text (Whisper, Deepgram, etc.) Text-to-Speech (ElevenLabs, Azure TTS, etc.) 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 environmentsWhat We’re Looking For Strong problem-solving and system-thinking mindset Ability to rapidly prototype and iterate AI solutions Product-oriented thinking Ownership mindset and ability to work in fast-paced environments
Job Title
Lead AI Engineer