AWS AI/ML & GenAI Engineer

​​​​ ​​​​​Experience

• 8+ years of experience in Software Engineering.


• 5+ years of experience in AI/ML and Generative AI.


• Hands-on experience with LLM integration, RAG architectures, and designing/deploying AWS infrastructure for an EPS Hybrid Search Platform.

Key Responsibilities

• Design and deploy AWS infrastructure for the EPS Hybrid Search Platform.


• Configure and manage:
  
  
  
  • Amazon ECS Fargate / EKS
  
  
  • Application Load Balancer (ALB)
  
  
  • Route 53 and ACM SSL Certificates
  
  
  • AWS WAF and Security Groups
  
  
  
  


• Design and implement Conversational AI architecture.


• Integrate:
  
  
  
  • Voyage AI Embeddings
  
  
  • LLM APIs
  
  
  • Semantic Search APIs
  
  
  • Vector Search
  
  
  
  


• Build Retrieval-Augmented Generation (RAG) pipelines.


• Implement conversation memory and context management.


• Develop prompt orchestration frameworks.


• Create APIs for conversational services.


• Optimize search relevance and response quality.


• Configure AI monitoring and model observability.


• Implement AI security, guardrails, and access controls.


• Work closely with business teams to enhance the overall search experience.

AWS Services Experience

• Amazon Bedrock


• AWS Lambda


• API Gateway


• ECS/EKS


• Amazon S3


• CloudWatch


• Secrets Manager


• AWS KMS


• EventBridge


• Step Functions

Technical Skills

• Python


• Node.js


• LangChain


• LlamaIndex


• Vector Databases


• MongoDB Atlas Vector Search


• REST APIs


• JWT/OAuth2


• Prompt Engineering


• RAG Architecture


• LLM Integration

Preferred Skills

• OpenAI


• Anthropic Claude


• Voyage AI


• Azure OpenAI


• MCP Framework


• Agentic AI Platforms