Java AI Developer (Full Stack)

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: Java AI Developer

Location: Charlotte NC
Rate: $60/Hr

We are seeking a Java AI Developer (Full Stack). This role requires strong hands-on engineering in enterprise Java/J2EE and modern React-based UI development combined with experience building and operationalizing LLM-enabled solutions (including agentic architectures prompt engineering and model telemetry/observability). You will work in a Scaled Agile / Scrum environment as part of cross-functional squads delivering secure compliant production-grade software.

Key Responsibilities

Full-Stack Engineering (Core Delivery)

Design build and enhance enterprise applications using Java/J2EE Spring/Spring Boot REST APIs and common J2EE patterns (DAO/DTO MVC etc.).
Develop modern responsive web UIs using React (hooks state management component design) with strong focus on performance accessibility and maintainability.
Build and integrate API layers; implement API security patterns (OAuth/JWT controls where applicable).

DevOps / CI-CD / Quality

Implement and maintain CI/CD pipelines (build test security scanning deployment automation) using modern toolsets such as Jenkins and enterprise deployment tooling (e.g. uDeploy where applicable).
Ensure high engineering quality through unit/integration testing code reviews static analysis and automated gates.
Partner with operations teams to support production readiness monitoring and incident triage using enterprise observability practices and toolchains.

AI/LLM Agentic Engineering (DTI AI-first expectations)

Design and implement LLM-enabled capabilities (e.g. copilots intelligent assistants workflow automation) aligned to business and engineering use cases.
Build agentic workflows (tool-using agents planners multi-step task execution guardrails) and integrate them into enterprise applications.
Apply strong prompt engineering practices: instruction design context management prompt templates evaluation and iteration to improve reliability.
Implement model telemetry and operational monitoring: latency token usage quality signals failure modes prompt/response tracing and feedback loops for continuous improvement.
Work with governance/security stakeholders to ensure responsible AI usage and compliance expectations in a regulated banking context.

Required Qualifications

8 years of software engineering experience with strong Java/J2EE foundation.
Strong hands-on experience with Spring Boot / microservices RESTful services and enterprise integration patterns.
Strong hands-on experience building UIs using React (modern JS/TypeScript hooks component architecture).
Proven experience with modern CI/CD and DevOps practices (build automation pipelines deployments quality gates).
LLM exposure in real engineering contexts (RAG tool/function calling structured outputs evaluation safety patterns).
Strong understanding of prompt engineering concepts and practical application.

AI / Agentic Skills (Must Have / Strong Preference)

Familiarity with ADK (Agent Development Kit) Playbook or similar agentic frameworks (LangGraph Semantic Kernel agent patterns agent orchestration frameworks etc.).
Understanding of agentic architectures: planning memory/context tool invocation retry/error handling deterministic guardrails.
Conceptual understanding of ML fundamentals (supervised/unsupervised learning embeddings evaluation metrics) and how they relate to LLM systems.
Understanding of model telemetry/observability and how to operationalize LLM systems reliably in production.

Preferred / Nice to Have

Apigee experience (API proxies policies security lifecycle management) strongly preferred.
Experience with enterprise ticketing/monitoring ecosystems (e.g. ServiceNow/Jira and observability platforms) in production support contexts.
Experience with secure SDLC practices in regulated environments (threat modeling basics secrets management vulnerability remediation).
Exposure to internal developer productivity tooling (e.g. GitHub Copilot-style workflows) and AI-assisted SDLC improvements.

Role: Java AI Developer Location: Charlotte NC Rate: $60/Hr We are seeking a Java AI Developer (Full Stack). This role requires strong hands-on engineering in enterprise Java/J2EE and modern React-based UI development combined with experience building and operationalizing LLM-enabled solutions (in...