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Salary
≈ $13k – $29k per year (Estimated)
Location
In office (Noida)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jul 28, 2026.

Overview
Company
Impact
Profile match
Mphasis provides information technology services with a focus on cloud and cognitive automation. Its clients are concentrated in banking, insurance and financial services. The company builds industry-specific platforms alongside its services work.

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.

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