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.