Lead GenAI Engineer: RAG on AWS & Scalable AI

Emplay; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Emplay is seeking a Lead AI Engineer to design and deliver production-grade LLM-powered features on AWS, build intelligent agents, and integrate enterprise tools. You will work with cross-functional teams to ship high-quality GenAI solutions at scale.

Ideal candidates bring 3-4 years in AI/ML engineering, hands-on LLM API experience, and strong Python/WASD cloud skills for scalable, secure, multi-region deployments.

Qualifications

• 3-4 years of AI/ML engineering experience.
• Hands-on with LLM APIs and building production-grade GenAI features.
• Strong knowledge of RAG pipelines, embeddings, and vector stores.
• Proficient in Python backend development (FastAPI/Flask).
• Experience with AWS services and cloud architectures.
• IaC experience with Terraform or AWS CDK and CI/CD pipelines.

Responsibilities

• Design, build, and deploy LLM-powered agents and conversational AI features on AWS.
• Architect and optimise end-to-end RAG pipelines including embeddings and vector stores.
• Implement MCP servers to support multi-agent orchestration workflows.
• Develop LLM evaluation frameworks for QA and regression tracking.
• Build scalable multi-region cloud infrastructure using core AWS services.
• Secure APIs with proper access controls and authentication flows.
• Integrate CRM, analytics tools via REST APIs and webhooks.
• Build bulk data ingestion/export pipelines with usage analytics.
• Own CI/CD pipelines and production reliability.
• Collaborate with product and engineering teams to scope and deliver features on time.

Tools

AWS Bedrock

OpenAI

Anthropic

LangChain

LlamaIndex

MCP

OpenSearch

Pinecone

pgvector

Python (FastAPI/Flask)

REST/GraphQL

OAuth 2.0 / SAML / OIDC

Terraform / AWS CDK

GitHub Actions

Job description

Emplay is seeking a Lead AI Engineer to design and deliver production-grade LLM-powered features on AWS, build intelligent agents, and integrate enterprise tools. You will work with cross-functional teams to ship high-quality GenAI solutions at scale.

Ideal candidates bring 3-4 years in AI/ML engineering, hands-on LLM API experience, and strong Python/WASD cloud skills for scalable, secure, multi-region deployments.