Live opening · Posted 11 days ago

Module Lead

Mphasis · Noida, Uttar Pradesh, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 11 days ago
CompanyMphasis
LocationNoida, Uttar Pradesh, India (On-site)
Work modeNo
SourceLinkedin
Listed11 days ago

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About the role

Description supplied by the original job listing.

What You Need To Have
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.

Work arrangement
No

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