AWS AI Developer - 0120 #1 NJ

Job Title: AWS AI Developer

Location: Canada (Preferably GTA) – 100% Remote
Duration: 12 Months

Role Summary

Our client is seeking an experienced AWS AI Developer to support the development of a secure, enterprise-grade conversational AI platform. This role focuses on building and enhancing chatbot solutions using Amazon Lex, Amazon Bedrock, and serverless AWS services. The ideal candidate will have hands-on experience with Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and event-driven cloud architectures.

Key Responsibilities

• Design, build, and maintain Amazon Lex chatbots with AWS Lambda fulfillment.

• Integrate Amazon Bedrock foundation models (e.g., Claude) and manage prompt engineering strategies.

• Implement Retrieval-Augmented Generation (RAG) workflows using embeddings and vector similarity search (PGVector/PostgreSQL).

• Develop secure APIs and backend integrations using API Gateway, ALB, or NLB.

• Implement authentication and authorization using Microsoft Identity (OIDC/OAuth, JWT).

• Contribute to CI/CD pipelines, automated testing, and technical documentation.

• Implement logging, monitoring, and tracing using CloudWatch and AWS X-Ray.

• Support chatbot integration with Amazon Connect and assist in UAT validation.

Required Experience

• 2–4 years of overall software development experience.

• 1–2 years of experience building chatbots or GenAI/ML-powered applications.

• Hands-on experience with AWS serverless and event-driven architectures.

Required Technical Skills

AWS Services:

• Lambda

• Lex

• Bedrock

• Amazon Connect

• API Gateway / ALB / NLB

• IAM

• CloudWatch

• Secrets Manager

GenAI / RAG:

• Embeddings and vector similarity search

• Prompt engineering

• RAG architecture implementation

Data & Backend:

• PostgreSQL

• PGVector

• Basic SQL

Programming Languages:

• Python or Node.js

Security:

• OAuth / OIDC (Microsoft Identity)

• JWT

• Least-privilege IAM design

DevOps & Infrastructure:

• Git

• CI/CD (CodePipeline or GitHub Actions)

• Infrastructure as Code (CDK or Terraform)

Nice to Have

• Experience working with Claude models on Amazon Bedrock

• Caching solutions (Redis / ElastiCache)

• Prompt evaluation and testing tools

Education & Certifications

• Degree in Computer Science, Engineering, or equivalent practical experience

• AWS Associate-level certification (preferred)