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M

Module Lead

Mphasis
šŸ‡®šŸ‡³ India
On-site
Staff / Principal
2 months ago
  • React.js
  • TypeScript
  • Vue
  • Angular
  • Node.js
  • NestJS
  • MongoDB
  • Data Modeling
  • Python
  • REST API
  • Docker
  • CI/CD
  • AWS
  • Azure
  • Terraform
  • CloudFormation
  • Copilot
  • AI
  • Kubernetes
  • SQS
  • IAM
  • OCR
  • RAG
  • Pinecone
  • Milvus
  • Weaviate
  • FAISS
  • OpenAI
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What you need to have:

  • Minimum 6+ years professional experience building applications.
  • Strong proficiency inReact (TypeScript preferred). Familiarity with Vue or Angular acceptable.
  • Strong server-side experience withNode.js (NestJS or Express). TypeScript experience strongly preferred.
  • Practical experience withMongoDB (or other document DBs) and data modeling.
  • Familiarity with Python for scripting or ML integration.
  • Solid understanding ofRESTful APIs and web security best practices.
  • Experience withcontainerization (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 leveragingMicrosoft Copilot Studio
  • Hands-on problem solver with strong communication skills and ability to own features end-to-end.

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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.

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Module Lead Ā· Mphasis

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