Live opening · Posted 4 days ago
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About the Job
This 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 50LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
What We're Building
CodeRound 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 Build
We'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 Do
Design, build, and deploy production-grade LLM applications and conversational AI systems
Build multi-agent workflows using frameworks such as LangGraph, CrewAI, or similar orchestration frameworks
Develop production RAG systems using vector databases and hybrid retrieval architectures
Optimize inference latency, GPU utilization, memory consumption, and LLM serving costs
Build reliable model serving infrastructure with monitoring, observability, evaluations, retries, and guardrails
Work on real-time AI applications involving streaming, speech (STT/TTS), or voice agents
Design scalable backend services and APIs supporting AI workloads
Collaborate with product and engineering teams to rapidly ship AI features into production
What We're Looking For
2+ years of software engineering or AI engineering experience
Strong hands-on experience building production LLM applications
Experience deploying RAG systems into production
Experience with vector databases such as Pinecone, pgvector, Weaviate, Chroma, FAISS, or similar
Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks
Strong understanding of transformers, embeddings, prompt engineering, and evaluation methodologies
Experience building model serving infrastructure and production ML systems
Strong backend engineering skills (Python preferred)
Experience with cloud platforms (AWS/GCP/Azure), Docker, and scalable backend architecture
Bonus Points
Experience building multi-agent systems
Experience with voice AI (STT/TTS), streaming, or real-time conversational systems
Experience with inference optimization, batching, quantization, or GPU optimization
Experience implementing AI guardrails, structured outputs, and evaluation pipelines
Experience working in early-stage startups or owning products end-to-end
Why Join?
Build core AI systems from day one with significant technical ownership
Work directly with founders on high-impact AI products
Solve challenging engineering problems across LLM infrastructure, agentic systems, and production AI
Ship products used by real customers in healthcare
Join a fast-moving, VC-backed startup with significant growth potential
Work arrangement
No
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