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.  

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