AI Engineer (Up to 50LPA)

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