W2: Full Stack Developer (Java/AI Focus)

Stellent IT LLC
Boston, MA, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

LangGraph Framework HTML Java (Programming Language) Agile Methodology Artificial Intelligence Microsoft Azure Unix Cascading Style Sheets (CSS) Databases Continuous Integration Software Design Patterns DevOps
+19 more
Java Platform Enterprise Edition (J2EE) Enterprise Messaging Systems Model View Controller (MVC) NoSQL OpenShift Scrum Methodology Search Technologies SQL Databases TypeScript RxJS LangChain Retrieval-Augmented Generation Large Language Models Spring-boot Backend Agentic-AI AngularJS CrewAI Front End Software Development

Requirements

The candidate must be a hands-on developer blending enterprise Java backend skills with modern AI/LLM framework experience.

  • Core Backend: 5+ years of hands-on Java development. Strong expertise in the Spring ecosystem (Spring Boot, MVC, Data, Security).
  • AI/LLM Experience: Hands-on exposure to agentic AI frameworks (LangChain, LangGraph, CrewAI), RAG patterns, vector databases, embedding models, and semantic search.
  • Frontend: Proficiency in React and/or Angular (TypeScript, RxJS, HTML, CSS).
  • Database & Messaging: SQL and NoSQL databases (data modeling, optimization) and enterprise messaging systems/queues.
  • Cloud & DevOps: Azure cloud services, OpenShift, CI/CD pipelines, and Unix/Linux environments.
  • Architecture: Solid grasp of design patterns, scalable architecture principles, and asynchronous processing.

Soft Skills & Team Dynamics

  • Mentorship: Must be capable of acting as a technical mentor to junior developers (without functioning as a formal people manager).
  • Team: Will be joining a 50-person Agile (Scrum/Kanban) AI Lab team.
  • Communication: Excellent spoken and written English; must be able to translate complex technical/AI topics to Product Owners, Data Scientists, and business stakeholders.

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