Full Stack AI Consultant

IKCON TECHNOLOGIES Inc.

Jersey City, NJ, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Application Release Automation Automation of Tests Microsoft Azure Cloud Engineering Code Generation Code Review Continuous Integration DevOps

+13 more

Memory Management Systems Development Life Cycle Software Engineering Large Language Models Multi-Agent Systems Prompt Engineering Spring-boot Event Driven Architecture AngularJS Kubernetes Api Design Docker Microservices

Job description

We are seeking a hands-on Full Stack AI Consultant to accelerate our AI-in-SDLC strategy, establish agentic workflow orchestration capabilities, and embed modern engineering best practices across the organization, * Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core.

Build Enterprise Shared Services and APIs that could be reused across different product teams
Define and execute an AI-in-SDLC strategy embedding intelligent automation across code generation, automated testing, code review, release notes, and deployment.
Design and implement agentic workflow orchestration using LangGraph, including multi-agent collaboration, tool integration, memory management, and human-in-the-loop patterns.
Build reusable reference implementations, libraries, and playbooks for AI-augmented engineering.
Drive adoption of DevOps, CI/CD, and observability practices with AI-driven enhancements.
Advise on engineering policies and standards that embed AI-first principles.
Upskill existing engineers on agentic AI patterns and AI-integrated development practices.

Requirements

15+ years in software engineering with advisory experience.
Expertise in Java, Spring Boot, Angular, and cloud-native architectures on Microsoft Azure.
Strong background in microservices, Docker/Kubernetes, API-first design, and event-driven architectures.
Hands-on experience orchestrating agentic AI workflows using LangGraph, LangChain, or comparable frameworks
Proven ability to design multi-agent systems with tool use, planning, and RAG patterns.
Experience embedding AI into the SDLC like AI-assisted coding, intelligent test generation, automated documentation, and release automation.
Strong understanding of LLM orchestration, prompt engineering, and AI observability.
Insurance P&C domain experience strongly preferred.
Excellent communication skills with the ability to influence from engineering teams to senior leadership.
Track record of delivering measurable outcomes within time-bound engagements.