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 : GC, USC, 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