Software Engineer - Full Stack (.NET/Python)

Infor; Bengaluru; On-site; INR 900,000 - 1,600,000; Full time

Job summary

Infor Inc. in Bengaluru seeks a Software Engineer to join the platform engineering team as a mid-level full-stack contributor. You'll work on production services in Python and C#, UI in Angular, and AI-enabled platform capabilities with AWS services and Anthropic Claude APIs.

You'll collaborate with Senior Engineers and Leads, write tests, perform code reviews, and contribute to governance across explain, observe, and prevent patterns over time.

Qualifications

• Solid engineering fundamentals and hands-on experience shipping production code.
• Working proficiency in Python and PostgreSQL, with familiarity in C#.
• Working proficiency in Angular.
• Experience with AI coding tools like Claude Code or OpenAI Codex.
• Basic familiarity with AWS services, including compute and serverless.
• Baseline AI literacy and responsible use of AI in teams.
• Exposure to LangChain/LangGraph is a plus.

Responsibilities

• Build production services in Python, C#, and related service technologies.
• Develop UI functionality using Angular.
• Build and integrate features using AWS Bedrock, SageMaker, Lambda, and EKS.
• Integrate AI-backed capabilities via Claude APIs, MCP, and related services.
• Contribute to AI Governance across explain, observe, and prevent.
• Write unit, integration, and service-level tests to support reliable delivery.
• Participate in code reviews and maintainable implementation patterns.
• Estimate own work and flag risks or dependencies early.

Skills

Python

PostgreSQL

C#

Angular

AI-assisted coding

LangChain

LangGraph

AWS basics

Unit testing

Tools

AWS Bedrock

SageMaker

Lambda

EKS

Anthropic Claude APIs

MCP integrations

CI/CD

Job description

Software Engineer - Full Stack (.NET/Python)

Department: Development

Employment Type: Full Time

Location: Bengaluru

Description

We are seeking a Software Engineer to join our platform engineering team in Hyderabad. This is a full-stack individual contributor role responsible for implementing platform features, services, and user experiences under the design direction of Senior Engineers, the Team Lead, or the Manager.

This role is the mid-level counterpart to the Senior Engineer position, covering the same technology surface with less design autonomy expected. The candidate will build production services primarily in Python, C#, develop UI functionality using Angular, and contribute to AI-enabled platform capabilities.

The Software Engineer will work with AWS services, Anthropic Claude APIs, MCP integrations, and agentic frameworks while developing practical familiarity with AI Governance capabilities across explain, observe, and prevent patterns over time.

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