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Software Engineer, Associate

Infor
Hyderabad, IND
Full-time
Entry · 1–3 years experience
Onsite
Discovered 1 weeks ago
JavaSpring BootPostgreSQLAngularReactPython

Full Job Posting

A Typical Day in the Life Includes:

Design, build, and maintain scalable microservices and RESTful APIs

Build or use Agents to migrate the existing code-generated Java app to native Java.

Build responsive front-end features and own them alongside the backend

Develop agentic AI features, including RAG pipelines and MCP-based integrations that let LLMs securely interact with our data, tools, and services

Apply prompt engineering techniques (few-shot, one-shot, chain-of-thought) as part of day-to-day development

Make pragmatic architecture and design decisions, weighing trade-offs around scale, cost, and maintainability

Write clean, well-tested code and participate actively in code reviews

Collaborate with product and cross-functional teams to turn requirements into working software

Help set engineering standards and mentor other developers where it adds value

Basic Qualifications:

  • 1-3 years of professional software engineering experience (full-stack)
  • Strong proficiency in Java and hands-on experience designing and building microservices architectures (Spring Boot or equivalent)
  • Strong in PostgreSQL.
  • Solid track record of building RESTful API endpoints that are clean, secure, and maintainable
  • Front-end experience with Angular or React — able to build clean, responsive UIs
  • Experience building RAG (Retrieval-Augmented Generation) applications or pipelines
  • Strong working knowledge of prompt engineering — few-shot, one-shot, and chain-of-thought — used on a day-to-day basis
  • Comfortable with vibe coding and AI coding assistants (e.g., Claude Code,Kiro, Cursor, Copilot), paired with strong underlying technical judgment
  • Strong grasp of relational and/or NoSQL databases and data modeling
  • Comfortable working in Agile teams and delivery processes

Preferred Qualifications:

  • Python for AI agent logic, MCP server/client development, and custom integrations
  • DevOps / cloud experience — deploying applications to production using Docker, Kubernetes, or OpenShift
  • Hands-on with AWS and CI/CD pipelines
  • Familiarity with agent frameworks and orchestration (LangChain, LangGraph, CrewAI, AutoGen, or similar)
  • Exposure to LLM SDKs (OpenAI, Anthropic, Google Gemini, Azure OpenAI)
  • Experience with vector databases (Pinecone, Weaviate, FAISS, pgvector, ChromaDB)
  • Prior experience in a technical lead or mentorship role

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