AI Engineer (Up to 50LPA)

About the JobThis role is for one of our client companies — a VC-backed health-tech, ai, wearable startup that has raised $2M USD in funding.Salary: Up to 50LPAApply once and, if selected, get access to up to 20 remote and onsite interview opportunities.What We're BuildingCodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.What You'll BuildWe're looking for a hands-on AI Engineer who has built production AI systems, not just AI prototypes. You'll own everything from multi-agent architectures and RAG pipelines to real-time inference, model serving, and production reliability.This is a founding engineering role where you'll work directly with the founders to design, build, deploy, and scale AI systems used by real customers.What You'll DoDesign, build, and deploy production-grade LLM applications and conversational AI systemsBuild multi-agent workflows using frameworks such as LangGraph, CrewAI, or similar orchestration frameworksDevelop production RAG systems using vector databases and hybrid retrieval architecturesOptimize inference latency, GPU utilization, memory consumption, and LLM serving costsBuild reliable model serving infrastructure with monitoring, observability, evaluations, retries, and guardrailsWork on real-time AI applications involving streaming, speech (STT/TTS), or voice agentsDesign scalable backend services and APIs supporting AI workloadsCollaborate with product and engineering teams to rapidly ship AI features into productionWhat We're Looking For2+ years of software engineering or AI engineering experienceStrong hands-on experience building production LLM applicationsExperience deploying RAG systems into productionExperience with vector databases such as Pinecone, pgvector, Weaviate, Chroma, FAISS, or similarExperience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworksStrong understanding of transformers, embeddings, prompt engineering, and evaluation methodologiesExperience building model serving infrastructure and production ML systemsStrong backend engineering skills (Python preferred)Experience with cloud platforms (AWS/GCP/Azure), Docker, and scalable backend architectureBonus PointsExperience building multi-agent systemsExperience with voice AI (STT/TTS), streaming, or real-time conversational systemsExperience with inference optimization, batching, quantization, or GPU optimizationExperience implementing AI guardrails, structured outputs, and evaluation pipelinesExperience working in early-stage startups or owning products end-to-endWhy Join?Build core AI systems from day one with significant technical ownershipWork directly with founders on high-impact AI productsSolve challenging engineering problems across LLM infrastructure, agentic systems, and production AIShip products used by real customers in healthcareJoin a fast-moving, VC-backed startup with significant growth potential