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Urgent Openeing | .Net Fullstack + GenAI

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Summary

Full-stack .NET engineer role centered on building GenAI and agentic applications — LLM integration, RAG pipelines, prompt engineering, and AI agent orchestration — on cloud platforms using C#/.NET, Angular/React, Python, and LangChain/LangGraph. Onsite in Hyderabad, Bengaluru, or Delhi/NCR with ~10% travel.

Required Qualifications:

  • A bachelors degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.
  • 5+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
  • 3+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
  • 3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
  • Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
  • Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly.

Other:

  • Ability to travel 10%, on average, based on the work you do and products you build.
  • Limited immigration sponsorship may be available.

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See also

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