Generative AI Engineer — AWS Bedrock & Agents (Remote)

Code17Tek; Mexico; On-site; PHP 7,371,007 - 11,056,510; Part time

Job summary

Code17Tek is seeking an AI Engineer to design and develop next‑generation Generative AI applications within the AWS AI ecosystem. You will build intelligent AI agents, evaluation frameworks, and scalable backend services powering enterprise‑grade AI solutions.

This remote LATAM role emphasizes working with LLMs, AI Agents, RAG, prompt engineering, and AI evaluation to deliver production‑ready applications.

Qualifications

• 5+ years of software engineering experience.
• Hands-on experience with Go (Golang).
• Hands-on experience with Amazon Bedrock.
• Experience building Generative AI applications using LLMs.
• Experience with AI Agents and agentic workflows.
• Experience developing REST APIs and backend services.
• Strong understanding of prompt engineering.
• Experience with Git and CI/CD.

Responsibilities

• Design, develop, and deploy Generative AI applications using Amazon Bedrock.
• Build intelligent AI agents using AWS AgentCore and AWS Strands.
• Develop scalable backend APIs and microservices using Python and Go.
• Build Retrieval-Augmented Generation (RAG) pipelines.
• Design prompt engineering and optimization strategies.
• Develop AI evaluation frameworks and automated QA for AI apps.
• Work with vector databases and embedding models.
• Collaborate with product managers, architects, and engineering teams to deliver enterprise AI solutions.
• Optimize AI apps for performance, reliability, and cost.

Skills

Go (Golang)

REST APIs

CI/CD

Prompt engineering

Git

AI/Generative AI

5+ years experience

Tools

Amazon Bedrock

AWS AgentCore

AWS Strands

LangChain

LangGraph

Docker

Terraform

Job description

Code17Tek is seeking an AI Engineer to design and develop next‑generation Generative AI applications within the AWS AI ecosystem. You will build intelligent AI agents, evaluation frameworks, and scalable backend services powering enterprise‑grade AI solutions.

This remote LATAM role emphasizes working with LLMs, AI Agents, RAG, prompt engineering, and AI evaluation to deliver production‑ready applications.