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Skills
AWS Lambdaunmatched
Access Controlunmatched
Amazon Simple Storage Service (S3)unmatched
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Automationunmatched
Content Filtering Softwareunmatched
Cross-Functionalunmatched
Metricsunmatched
Node.jsunmatched
Performance Analysisunmatched
Performance Managementunmatched
Performance Modelingunmatched
Performance Tuning/Optimizationunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Technical/Engineering Designunmatched
Description
Role: Senior AWS Engineer (Bedrock and Sagemaker)
Location: San Antonio, TX
Job Type: Contract
Rate: $55-$60/hr
Job Descriptions:
Develop, integrate, and optimize Generative AI applications using AWS Bedrock, including prompt engineering, RAG implementation, and AI agent workflows.
Create and optimize prompts for LLMs
Work with Amazon Bedrock APIs for model inference
Develop backend services using Python / Node.js
Enable real-time and streaming AI responses
Build AI solutions using Bedrock Knowledge Bases
Integrate with data sources (S3, databases, enterprise systems)
Implement vector search and embeddings
Design and build AI agents using Bedrock Agents
Implement multi-step workflows and task automation
Integrate external APIs/tools into AI workflows
Work with core AWS services:
o IAM (security & access control)
o S3 (data storage)
o Lambda (serverless compute)
o API Gateway (service exposure)
Deploy scalable and secure AI solutions
Implement guardrails and content filtering
Ensure data privacy, compliance, and safe AI usage
Optimize token usage and model selection
Monitor and control Bedrock usage costs
Convert business requirements into AI-driven solutions
Manage and utilize SageMaker Feature Store for reusable feature engineering
Monitor model performance and detect data drift in production systems
Maintain and retrain models for continuous performance improvement
Track experiments, metrics, and ensure model reproducibility
Integrate SageMaker with AWS services like S3, IAM, Lambda, and CloudWatch
Optimize infrastructure, performance, and cost of ML workloads
Collaborate with cross-functional teams to design and deliver ML solutions
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.