L2 Engineer - Coach

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

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

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.