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Software Engineer - Full Stack (.NET/Python)

Infor
Hyderabad, IND
Full-time
Mid
Onsite
Discovered 1 weeks ago
PythonC#PostgreSQLAngularAWSAnthropic Claude APIs
Free

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PythonC#PostgreSQL
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A Typical Day in the Life Includes:

Build production services in Python, C#, and related service technologies based on designs set by Senior Engineers, leads, or managers

Develop corresponding UI functionality using Angular

Build and integrate features using AWS services such as Bedrock, SageMaker, Lambda, and EKS

Integrate LLM-backed capabilities using Anthropic Claude APIs, MCP, and related platform services

Contribute to AI Governance capabilities across explain, observe, and prevent areas as directed, developing familiarity with all three over time

Write unit, integration, and service-level tests to support reliable production delivery

Participate in code reviews, incorporate feedback, and contribute to maintainable implementation patterns

Estimate own work, communicate progress clearly, and flag risks, dependencies, or scope concerns early

Basic Qualifications:

  • Solid engineering fundamentals and hands-on experience shipping production code
  • Working proficiency in Python and PostgreSQL, with additional hands-on experience or familiarity in C#
  • Working proficiency in Angular
  • Hands-on experience using an AI coding tool in daily development work, such as Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool
  • Basic familiarity with AWS services, including compute and serverless capabilities
  • Baseline AI literacy, including understanding how AI works, where it can go wrong, where it is useful, and how to direct it effectively
  • Ability to evaluate AI-generated outputs before relying on them and use AI-assisted tools responsibly within team standards and review processes
  • Demonstrable exposure to LangChain, LangGraph, or a comparable agentic framework is a plus and can be developed further on the job

Preferred Qualifications:

  • Direct exposure to LLM-backed products, APIs, or AI-enabled production capabilities
  • Practical experience with Anthropic Claude APIs, MCP integrations, or comparable LLM integration patterns
  • Experience working with AWS Bedrock, SageMaker, Lambda, EKS, or comparable cloud-native services
  • Prior experience contributing to AI Governance, observability, explainability, prevention, or responsible AI platform capabilities

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