Senior Generative AI Engineer - AWS Bedrock & LLM Architect

Harnham; United States; Presencial; USD 150.000 - 230.000; Jornada completa

Descripción de la vacante

Harnham seeks an AI Engineer to lead end-to-end AI/ML architecture, development, and deployment for enterprise solutions in a AWS cloud environment. You will own complex systems, influence technical direction, and build production-grade AI applications focused on reliability, scalability, and security.

The role requires hands-on experience with agentic AI, LLM orchestration, and RAG architectures, along with deep AWS exposure including Bedrock, Sagemaker, Lambda, and DynamoDB.

Formación

• 5+ years of software engineering delivering production AI/ML or GenAI solutions.
• Hands-on experience with Agentic AI, LLM orchestration, tool calling, and RAG architectures.
• Deep experience with AWS, especially Bedrock, Lambda, DynamoDB, S3, EventBridge, SQS, and Step Functions.
• Strong Python and Node.js programming, including API development.
• Experience with LLM observability, evaluation frameworks, and reliability patterns.
• Experience with Docker and modern cloud deployment.
• Bachelor's degree in CS, engineering, or related field (or equivalent).

Responsabilidades

• Design and build agentic AI systems with reasoning workflows and function calling.
• Develop and maintain RAG solutions using embeddings, vector search, and knowledge management.
• Architect and integrate AI apps using AWS Bedrock, Sagemaker, Lambda, and more.
• Establish observability and evaluation frameworks for LLM-based systems.
• Build backend services and APIs in Python and Node.js for cloud-native apps.
• Lead design discussions, mentor engineers, and provide architectural guidance.
• Ensure production reliability with fault tolerance and monitoring.

Conocimientos

Agentic AI

LLM orchestration

AWS Bedrock

Python

Node.js

Docker

Observability

Mentoring

Educación

Bachelor's degree in CS or related field

Herramientas

Bedrock

Sagemaker

Lambda

DynamoDB

S3

EventBridge

SQS

Step Functions

API Gateway

Descripción del empleo

Harnham seeks an AI Engineer to lead end-to-end AI/ML architecture, development, and deployment for enterprise solutions in a AWS cloud environment. You will own complex systems, influence technical direction, and build production-grade AI applications focused on reliability, scalability, and security.

The role requires hands-on experience with agentic AI, LLM orchestration, and RAG architectures, along with deep AWS exposure including Bedrock, Sagemaker, Lambda, and DynamoDB.