Senior AWS AI Engineer

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

Location: San Antonio, Texas – Local ONLY 

Final round in-person interview MUST 

Rate $55-60 DOE
 

VISA : H1-B

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