---
title: "L2 Engineer - Coach"
company: "Showpad"
company_url: "https://www.remjobs.works/companies/showpad"
url: "https://www.remjobs.works/job/showpad-l2-engineer-coach-a3eb0333-045c-40e7-b351-22abea585309"
apply_url: "https://job-boards.greenhouse.io/showpad/jobs/8027944"
workplace: onsite
location: "Pune"
employment_type: unspecified
seniority: mid
role: software-engineering
region: india
skills: ["aws", "javascript", "llm", "typescript"]
date_posted: 2026-08-27T06:49:15.000Z
first_seen_by_remjobs: 2026-09-15T15:01:02.327Z
---

# L2 Engineer - Coach

**Showpad** · Pune

Apply: https://job-boards.greenhouse.io/showpad/jobs/8027944

## About Showpad

Build predictable performance with an AI-powered sales enablement platform designed for the complex reality of field sales. Learn more!

## About the role

##### 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.

---

Source: Showpad's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/showpad-l2-engineer-coach-a3eb0333-045c-40e7-b351-22abea585309