L2 Engineer

Summary
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.
Responsibilities


• 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

Required Qualifications


• 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