Module Lead

Mphasis; Dadri; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Mphasis is seeking an experienced Copilot Application Developer to design, build, and deploy intelligent AI-powered applications. You will bridge business needs with advanced AI by leveraging Copilot Studio and cloud-native architectures.

You will own features end-to-end, collaborate with cross-functional teams, and ensure robust security and scalable delivery using React, Node.js, MongoDB, and modern data pipelines.

Qualifications

• 6+ years of professional experience building applications.
• Strong proficiency in React (TypeScript preferred). Familiarity with Vue or Angular acceptable.
• Strong server-side experience with Node.js (NestJS or Express). TypeScript experience strongly preferred.
• Practical experience with MongoDB and data modeling.
• Familiarity with Python for scripting or ML integration.
• Solid understanding of RESTful APIs and web security best practices.
• Experience with Docker and CI/CD pipelines.
• Familiarity with cloud deployments (AWS preferred/Azure) and basic infra-as-code concepts.
• Familiarity with prompt engineering and integrating LLMs into applications.
• Copilot Application Developer to design, build, and deploy intelligent, AI-powered applications. The ideal candidate will bridge the gap between business needs and advanced AI by leveraging Microsoft Copilot Studio
• Hands-on problem solver with strong communication skills and ability to own features end-to-end.

Responsibilities

• Design, build, and deploy AI-powered applications with Copilot Studio.
• Bridge business needs with advanced AI solutions.
• Own features end-to-end and deliver robust software.

Skills

React

TypeScript

Vue/Angular familiarity

Node.js

NestJS/Express

MongoDB

Python scripting

REST APIs

Web security

Docker

CI/CD pipelines

AWS

Azure

Terraform/CloudFormation

Prompt engineering

Copilot Studio

Communication

End-to-end ownership

Tools

Kubernetes

OpenAI API

Anthropic

Llama-family

Pinecone

Milvus

Weaviate

FAISS

OCR

PDF ingestion

Job description

• Minimum 6+ years professional experience building applications.
• Strong proficiency in React (TypeScript preferred). Familiarity with Vue or Angular acceptable.
• Strong server-side experience with Node.js (NestJS or Express). TypeScript experience strongly preferred.
• Practical experience with MongoDB (or other document DBs) and data modeling.
• Familiarity with Python for scripting or ML integration.
• Solid understanding of RESTful APIs and web security best practices.
• Experience with containerization (Docker) and CI/CD pipelines.
• Familiarity with cloud deployments (AWS preferred/Azure) and basic infra-as-code (Terraform/CloudFormation) concepts.
• Familiarity with prompt engineering and integrating LLMs into applications.
• Copilot Application Developer to design, build, and deploy intelligent, AI-powered applications. The ideal candidate will bridge the gap between business needs and advanced AI by leveraging Microsoft Copilot Studio
• Hands‑on problem solver with strong communication skills and ability to own features end‑to‑end.

Good to have skills

• Production experience with Kubernetes, AWS services (S3, Lambdas, SQS, IAM), or equivalent cloud tooling.
• Experience with document ingestion pipelines and unstructured data storage (PDF/text ingestion, OCR, parsing).
• Experience building Retrieval-Augmented Generation (RAG) solutions and using vector databases (Pinecone, Milvus, Weaviate, FAISS).
• Experience deploying and monitoring LLM-based features: model selection, cost control, rate limiting, caching, observability.
• Familiarity with LLM frameworks/APIs (OpenAI, Anthropic, Llama-family) and embeddings workflows.
• Strong understanding of cloud-native architectures, observability (logs/metrics/tracing), reliability, and cost optimization.