L2 Engineer - Coach

### **L2 Engineer – GenAI Focused** **Location:** Pune ### **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 ### **Preferred Qualifications** - Experience with AI agent frameworks and agentic workflows - Experience with AI evaluation frameworks such as LangSmith, Ragas, DeepEval, or equivalent - Familiarity with AI observability and monitoring platforms - Experience optimizing LLM cost, latency, and reliability - Exposure to multi-agent systems and advanced GenAI architectures ### **Ideal Candidate Profile** We are looking for engineers who have already built and deployed GenAI solutions into production and can contribute immediately within our TypeScript-based AWS Serverless ecosystem. Candidates with hands-on experience in LLM evaluations, prompt engineering, RAG architectures, WebSockets, and automated testing will be highly preferred.