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Senior AWS Bedrock & SageMaker Developer

Q1 Technologies, Inc

  • San Antonio, TX
  • 27 days ago
    Q1 Technologies, Inc
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    Skills

    • AWS Lambdaunmatched
    • Access Controlunmatched
    • Amazon Elastic Compute Cloud (EC2)unmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Application Integrationunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Automationunmatched
    • Computer Programmingunmatched
    • Content Filtering Softwareunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Storageunmatched
    • Metricsunmatched
    • Microservicesunmatched
    • Node.jsunmatched
    • Performance Analysisunmatched
    • Performance Managementunmatched
    • Performance Modelingunmatched
    • Performance Tuning/Optimizationunmatched
    • Production Systemsunmatched
    • Python Programming/Scripting Languageunmatched
    • Technical/Engineering Designunmatched
    • Training Data Setsunmatched

    Description

    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

    Numbers & Facts

    LocationSan Antonio, TX
    IndustryComputer/IT Services
    Company Size500 to 999 employees
    Year Founded1990
    Websitehttp://q1tech.com/

    About Company

    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.

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