Software Engineer, Associate
Key Skills for This Role
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
About Infor
Global provider of industry-specific enterprise cloud software.
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