AWS Bedrock & SageMaker Developer

Artech LLC

San Antonio, TX

Apply

JOB DETAILS

SALARY

$50–$55 Per Hour

SKILLS

AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Integration, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Computer Programming, Content Filtering Software, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Metrics, Microservices, Node.js, Performance Analysis, Performance Management, Performance Modeling, Performance Tuning/Optimization, Production Systems, Python Programming/Scripting Language, Technical/Engineering Design

LOCATION

San Antonio, TX

POSTED

18 days ago

Request ID: 96641-1
Title: AWS Bedrock & SageMaker Developer
Locations: San Antonio, TX
Duration: 6 Months
Pay Range: $50 - $55/Hour on W2/C2C (All inclusive)

Role Descriptions:
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"

"Generative AI & LLM Fundamentals, Prompt Engineering, Bedrock API and SKD usage, RAG, AI Agents and workflow design,
Programming skill (Python, APIs, Microservice), AWS core knowledge (IAM, S3, Lambda, API Gateway), Application integration skills, Vector databases, CI/CD for AI Apps.
Understanding of ML life cycle, Strong coding in Python, Good knowledge on Py libraries (Pandas, Numpy, Scikit-learn (ML), Tensorflow/PyTorch),
Exploratory Data Analysis (EDA), Handling large dataset in Amazon S3, Model Training and Optimization, Model deployment, MLOps & Pipeline Automation.
Hands on SageMaker Studio, Training Jobs, Endpoints, Pipeline, Model registry, Feature Store
Hands on AWS Core services (S3, IAM, EC2, Lambda, Cluodwatch)"

Skills: Digital : Python ~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : DevOps ~Github Enterprise
Experience Required: 10 & Above

Company Benefits & Culture

Inclusive and diverse work environment
Opportunities for professional growth and development
Comprehensive health and wellness benefits

Appreciate your quick response and please feel free to reach me out for any query you may have.

Thanks

AWS Bedrock & SageMaker Developer

Artech LLC

San Antonio, TX

About the Company

Artech LLC

Similar Job Searches