Sr. AWS AI Engineer With Bedrock Agent Core & Custom AI/ML

Sr. AWS AI Engineer with Bedrock Agent Core & Custom AI/ML

Location: San Antonio, Texas Local ONLY

Final round in-person interview MUST

Role Summary

We are looking for AWS AI Engineers with hands-on experience building AI/ML and GenAI solutions using Amazon Bedrock and Bedrock AgentCore.

This role will focus on implementation, and engineering of AI-powered applications.

Key Responsibilities

Build and implement AI/GenAI applications using Amazon Bedrock and AgentCore

Develop and integrate Bedrock agents, tools, and knowledge bases into applications

Implement RAG pipelines using S3, OpenSearch, DynamoDB, and embeddings

Develop backend services using Python and AWS Lambda

Work with APIs and event-driven architectures using API Gateway, EventBridge, Step Functions

Experiment with prompts, evaluate outputs, and optimize performance and cost

Build and deploy AI/ML pipelines using AWS-native services

Collaborate with the Solutions Architect on architecture and design implementation

Required Skills & Experience

3 6 years of experience in software engineering, AI, or ML

Hands-on experience with Amazon Bedrock (agents, AgentCore, KBs, guardrails preferred)

Strong Python development skills

Experience with AWS services:

o Lambda, S3, DynamoDB, API Gateway, IAM

Experience implementing:

o RAG (Retrieval Augmented Generation)

o Embeddings and vector search

o Prompt engineering

Familiarity with ML concepts (training, evaluation, fine-tuning is a plus)

Preferred Qualifications

Experience with OpenSearch, LangChain, or similar orchestration frameworks

Exposure to SageMaker, MLOps, or model lifecycle management

AWS certification (Associate level or above)

Experience working on enterprise AI or chatbot/assistant solution