Senior AI Engineer — GenAI, RAG & AWS Solutions

Emplay; United States; Remote; USD 170,000 - 250,000; Full time

Job summary

Emplay is seeking a Senior AI Engineer to design and deliver production-grade, LLM-powered features on AWS. You will build intelligent agents, optimize RAG pipelines, and collaborate with cross-functional teams to ship high-quality AI solutions at scale.

The role requires hands-on experience with LLM APIs (AWS Bedrock, OpenAI, Anthropic), LangChain, and multi-region AWS architectures, plus strong Python backend skills and API design capabilities.

Qualifications

• 2–3 years of experience in AI/ML engineering or related technical role.
• Hands-on experience with LLM APIs — AWS Bedrock, OpenAI, or Anthropic — and production GenAI features.
• Strong knowledge of RAG pipeline design — embeddings, vector stores (OpenSearch, Pinecone, pgvector).
• Proficiency with LangChain or LlamaIndex; familiarity with MCP (Model Context Protocol).
• Solid AWS skills — Lambda, ECS/EKS, S3, DynamoDB, OpenSearch, SQS, and multi-region architecture patterns.
• Backend development in Python (FastAPI/Flask) — production services and APIs.
• REST / GraphQL API design with OpenAPI; OAuth 2.0, SAML, and OIDC.
• Infrastructure-as-code experience using Terraform or AWS CDK; CI/CD pipelines with GitHub Actions or equivalent.
• Strong problem-solving skills and ability to work with ambiguous requirements.
• Good communication skills, able to work with both technical and non-technical stakeholders.

Responsibilities

• Design, build, and deploy LLM-powered agents and conversational AI features on AWS.
• Architect and optimise end-to-end RAG pipelines — embedding, vector indexing, and context retrieval.
• Implement Model Context Protocol (MCP) servers to support multi‑agent orchestration workflows.
• Develop and maintain LLM evaluation frameworks for quality assurance and regression tracking.
• Build scalable, multi‑region cloud infrastructure leveraging core AWS services.
• Secure APIs and enforce access controls, authentication flows, and data privacy standards.
• Integrate third‑party platforms (CRM, Sales Enablement, analytics tools) via REST APIs and webhooks.
• Build bulk data ingestion/export pipelines and instrument usage analytics and logging.
• Own CI/CD pipelines, automated regression testing, and production reliability.
• Collaborate with product and engineering teams to scope, estimate, and deliver features on time.

Skills

AI/ML engineering

Python development

REST API design

Communication skills

Problem solving

Tools

LangChain

LlamaIndex

AWS Bedrock

OpenAI

Anthropic

OpenSearch

Pinecone

pgvector

Terraform

AWS CDK

GitHub Actions

S3

DynamoDB

ECS/EKS

Lambda

SQS

Job description

Emplay is seeking a Senior AI Engineer to design and deliver production-grade, LLM-powered features on AWS. You will build intelligent agents, optimize RAG pipelines, and collaborate with cross-functional teams to ship high-quality AI solutions at scale.

The role requires hands-on experience with LLM APIs (AWS Bedrock, OpenAI, Anthropic), LangChain, and multi-region AWS architectures, plus strong Python backend skills and API design capabilities.