Senior AWS Bedrock & SageMaker Developer

Q1 Technologies, Inc

San Antonio, TX

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JOB DETAILS

SKILLS

AWS Lambda, Access Control, Amazon Elastic Compute Cloud (EC2), 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, Data Analysis, Data Storage, Metrics, Microservices, Node.js, Performance Analysis, Performance Management, Performance Modeling, Performance Tuning/Optimization, Production Systems, Python Programming/Scripting Language, Technical/Engineering Design, Training Data Sets

LOCATION

San Antonio, TX

POSTED

17 days ago

Hi,
Hope you are doing well.

I have an urgent opening for Senior AWS Bedrock & SageMaker Developer position. Kindly review the job description below and if interested, share your most recent resume in word format.

**Kindly share your updated resume**

Job Title: Senior AWS Bedrock & SageMaker Developer
Location: San Antonio, TX (Onsite)
Job Type: Contract

Job Description:

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:

IAM (security & access control)
S3 (data storage)
Lambda (serverless compute)
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 Sage Maker 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 Sage Maker 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 Sage Maker Studio, Training Jobs, Endpoints, Pipeline, Model registry, Feature Store
Hands on AWS Core services (S3, IAM, EC2, Lambda, CloudWatch)

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

About the Company

Q1 Technologies, Inc

Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.

Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.

COMPANY SIZE

500 to 999 employees

INDUSTRY

Computer/IT Services

FOUNDED

1990

WEBSITE

http://q1tech.com/

Senior AWS Bedrock & SageMaker Developer

Q1 Technologies, Inc

San Antonio, TX

About the Company

Q1 Technologies, Inc

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