L2 Engineer

We are seeking a Mid-Level AI Engineer to join our team and contribute to the design, development, and deployment of modern AI-powered applications. The ideal candidate will have strong expertise in TypeScript/JavaScript, AWS Serverless architecture, and experience building and operating production-grade Generative AI applications. This role will focus on developing scalable backend services, integrating Large Language Models (LLMs), designing AI-powered workflows, evaluating model performance, and delivering reliable cloud-native solutions.

• →Design, develop, and maintain scalable backend services using TypeScript/JavaScript
• →Build and operate cloud-native applications on AWS Serverless architecture using:
  • →API Gateway
  • →Lambda
  • →DynamoDB
  • →VPC
• →Design and implement REST APIs and event-driven architectures
• →Build and deploy production-grade Generative AI applications
• →Develop RAG-based solutions using vector databases, embeddings, and modern LLM frameworks
• →Engineer effective prompts and AI workflows to optimize application performance
• →Conduct LLM evaluations, benchmarking, and performance analysis
• →Implement AI observability, monitoring, and quality evaluation mechanisms
• →Work with WebSocket-based real-time communication systems
• →Build robust automated testing frameworks including:
  • →Unit Testing
  • →Integration Testing
• →Implement and maintain CI/CD pipelines and deployment workflows
• →Collaborate with Product, Engineering, and AI teams to deliver AI-powered features
• →Troubleshoot, debug, and optimize application performance and reliability
• →Contribute to architecture decisions and engineering best practices

• 3–6 years of professional software engineering experience
• Strong expertise in TypeScript/JavaScript
• Hands-on experience with AWS Serverless services:
  • API Gateway
  • Lambda
  • DynamoDB
  • VPC Networking
• Experience designing and building distributed backend systems
• Strong understanding of REST APIs, microservices, and event-driven architectures
• Experience with WebSockets and real-time communication systems
• Strong experience with Unit Testing and Integration Testing
• Experience building and supporting production-grade GenAI applications
• Experience working with LLMs such as:
  • OpenAI
  • Anthropic
  • Gemini
  • Open-source LLMs
• Experience with prompt engineering and prompt optimization techniques
• Experience conducting LLM evaluations and measuring model performance
• Familiarity with:
  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel
• Experience with vector databases, embeddings, and RAG architectures
• Strong software engineering fundamentals, design patterns, and system design skills
• Excellent problem-solving and communication skills