Senior AI Engineer with AWS exp

GAC Solutions Inc.
Lionville, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Lionville, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Software Design Patterns
DevOps
Amazon DynamoDB
Github
Identity and Access Management
Python
Performance Tuning
Cloud Services
Systems Integration
Data Logging
Delivery Pipeline
Large Language Models
Generative AI
Infrastructure as Code (IaC)
Amazon Web Services (AWS)
Backend
Cloudformation
Amazon Web Services (AWS)
Containerization
AI Platforms
Machine Learning Operations
Cloudwatch
Api Gateway
REST
Terraform
Docker
Microservices

Job description

  • Agentic & GenAI
  • Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services (Amazon SageMaker, Bedrock, Rekognition, Textract, Transcribe, Translate).
  • Integrate foundation models / LLMs into applications using Bedrock or custom model endpoints.
  • Build AI pipelines for inference, prompt orchestration, fine tuning, and evaluation.
  • Implement responsible AI practices including auditability, explainability, bias mitigation, and model governance.
  • AWS Cloud Architecture & DevOps
  • Architect and deploy cloud native solutions using AWS core services:
  • EC2, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, Aurora, Step Functions.
  • Implement Infrastructure as Code (IaC) using CloudFormation, CDK, or Terraform.
  • Design CI/CD pipelines leveraging GitHub Actions, AWS CodePipeline, or similar tools.
  • Optimize performance, availability, and cost using AWS Well Architected Framework principles.
  • Security, Compliance & Operations
  • Enforce AWS security best practices (IAM, KMS, VPC design, encryption at rest/in transit).
  • Implement monitoring, logging, and alerting using CloudWatch, X Ray, and OpenSearch.
  • Support compliance requirements (SOC2, ISO, financial services governance where applicable).
  • Participate in production support, troubleshooting, and performance tuning.

Requirements

Technical Skills

  • Strong experience in full stack development (front end + back end).
  • Hands on expertise with AWS services and cloud native architectures.
  • Practical experience building or integrating Agentic or Generative AI solutions.
  • Proficiency in at least one backend language (Python preferred).
  • Experience with REST APIs, microservices, and asynchronous processing.
  • Familiarity with containerization (Docker) and orchestration (ECS/EKS).

Engineering & Delivery

  • Experience building production grade systems, not just prototypes.
  • Strong understanding of software design patterns, scalability, and resilience.
  • Ability to translate business problems into technical AI solutions.
  • Experience working in Agile / DevOps teams."

Best Regards

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