Senior AI Solutions Developer

SolutionIT, Inc.
Rutherford, NJ, United States
3 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$121,200.0 - $181,800.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Systems Engineering User Authentication BASIC (Programming Language) Information Systems Data Security Python (Programming Language) Standard Sql Software Engineering Systems Integration
+4 more
Data Logging Large Language Models Information Technology Enterprise Integration

Job description

Senior Java developer is responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technolog…

  • 15 days ago +

Requirements

  • Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Systems, or a related field.
  • 5 to 8 years of experience in software development, application development, systems engineering, or related engineering roles.
  • Strong proficiency in Python.
  • Strong experience with APIs, system integration, and service-based architectures.
  • Solid knowledge of SQL and working with data in enterprise environments.
  • Experience building AI-enabled applications, assistants, agents, automations, or workflows using modern LLM tools and platforms.
  • Experience working directly with business stakeholders or end users to design, prototype, and iterate on software or AI-enabled solutions.
  • Experience working with tool integration patterns, including exposing or consuming internal tools and services within application workflows.
  • Understanding of orchestration approaches for multi-step workflows, tool usage, and agentic patterns.
  • Experience implementing logging, testing, and basic observability.
  • Understanding of authentication, authorization, secure data access, and enterprise integration considerations.
  • Ability to identify practical risks, controls, dependencies, and trade-offs when developing AI-enabled solutions.

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