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Urgent role || AWS AI developer || Lawrenceville, NJ (Hybrid) (Only Locals)

Hi,

Greetings!

 

Hope you are doing well,

Please find below the details & let me know if you are Interested in this position. 

 

Role: AWS AI developer

Location: Lawrenceville, NJ (Hybrid) (Only Locals NY, NJ or PA)

 

The Opportunity:

As a Senior AWS AI Developer, you will be responsible for building cloud-native, serverless, and AI-enabled applications using AWS services. You will work hands-on across development, integration, automation, and optimization of cloud solutions. This role involves developing scalable and secure backend services, implementing event-driven components, integrating LLM/Agentic AI capabilities, and contributing to modernization initiatives across AWS environments.

 

We are looking for an experienced AWS developer who can design, develop, and enhance cloud-native applications using serverless and modern AWS services. You will work across multiple teams to build reusable components, implement automation, integrate AI/LLM capabilities using Amazon Bedrock and SageMaker, and support delivery of secure, efficient, and cost-optimized solutions in AWS.

 

To succeed, this Role's Responsibilities Would Involve:

  • Bring a developer's mindset with strong knowledge of AWS cloud engineering.
  • Be comfortable building, debugging, and enhancing serverless applications.
  • Work collaboratively with architects, product teams, and DevOps to deliver end-to-end solutions.
  • Understand modern cloud design principles, security practices, and automation standards.
  • Stay current with evolving AWS services and Generative AI capabilities.

Responsibilities:

Application Development & Integration

  • Build and enhance cloud-native applications using AWS services such as Lambda, API Gateway, DynamoDB, SQS/SNS, Step Functions, and S3.
  • Develop AI-enabled features using LLMs, Agentic AI, and AWS services like Amazon Bedrock and SageMaker.
  • Write clean, maintainable, secure, and testable code using Node.js or Python.
  • Implement event-driven workflows, asynchronous integrations, and serverless APIs.
  • Integrate AWS services programmatically using AWS SDK.

Cloud Engineering & Infra Automation

  • Implement Infrastructure-as-Code (IaC) using CloudFormation.
  • Contribute to CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy.
  • Support observability by configuring logging, monitoring, tracing, and alerts.
  • Follow cloud security, compliance, and operational best practices.

AI/LLM Feature Implementation

  • Build LLM-driven features, inference workflows, prompt-handling, and agent-based automation using Bedrock.
  • Develop scalable AI components and integrate them into backend services.
  • Experiment with new AWS AI capabilities and contribute to PoCs.

Collaboration & Delivery

  • Work with architects and senior engineers to translate high-level architecture into implementation.
  • Participate in code reviews, design discussions, and team development practices.
  • Troubleshoot issues, optimize application performance, and support deployment activities.

Mandatory Skills

  • 8 to 12 years of overall experience with strong AWS development background.
  • Hands-on development using AWS serverless services: Lambda, DynamoDB, SNS/SQS, Step Functions, API Gateway.
  • Experience developing AI/LLM features using Amazon Bedrock or SageMaker.
  • Strong programming experience in Node.js or Python.
  • Solid experience with AWS SDK, event-driven patterns, and microservices.
  • Good understanding of AWS compute, networking, security, and CI/CD.
  • Experience with CloudFormation for IaC.
  • Experience with Git and modern development workflows.
  • Strong debugging, problem-solving, and performance optimization skills.
  • Ability to write secure, scalable, production-grade cloud applications.

Good to Have Skills

  • Experience with embeddings, vector indexing, or Agentic AI workflows.
  • Knowledge of DynamoDB advanced patterns (streams, TTLs, global tables).
  • Experience working with RDS or other cloud databases.
  • Exposure to front-end technologies (React.js) for full-stack work.
  • Familiarity with AWS Service Catalog, IAM Identity Center, or governance tools.
  • Experience working in large-scale enterprise environments.
  • AWS Certifications (Developer Associate, Solutions Architect Associate/Professional) are a plus.

 

Thanks and Regards

Prashant Tiwari |Technical Recruiter|

Jconnect Infotech Inc.

168 Barclay Center Ste. 347, Cherry Hill, NJ 08034

 

 

 

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