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# Fullstack AI Engineer

- **Company:** Siri InfoSolutions Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Software Applications, Microsoft Azure, Business Software, Cloud Computing, Code Generation, Databases, Relational Databases, Software Debugging, Python (Programming Language), PostgreSQL, Node.Js, Cloud Services, Software Engineering, Systems Integration, Web Application Frameworks, Workflow Management Systems, Enterprise Software Applications, LangChain, Beeline, Retrieval-Augmented Generation, Large Language Models, Backend, Agentic-AI, Vue.js, AI Platforms, Clarity PPM, Machine Learning Operations, Bullhorn, Front End Software Development, Virtual Agents, Azure AI, Restful APIs, GPT, Automation Anywhere, Api Management, Service Stack
- **Published:** October 7, 2026
- **Apply:** https://www.dice.com/job-detail/b5785c80-57d9-4222-82bc-7d17efce8edf

## About the Role

* 5-7+ years of professional software engineering experience, with approximately 7 years preferred.
 * Recent, hands-on experience building AI/LLM-powered applications or AI agents.
 * Strong experience with Node.js and backend development.
 * Strong experience with Vue.js or comparable modern frontend frameworks.
 * Hands-on experience with LangChain and/or LangGraph.
 * Experience with RAG and LLM application development.
 * Understanding of MLOps and deploying/operating AI solutions.
 * Experience developing and integrating REST APIs and other application integrations.
 * Experience with PostgreSQL or similar relational databases.
 * Experience working with cloud platforms; Azure experience is preferred.
 * Strong software engineering fundamentals, including the ability to review, validate, debug, and test code generated with AI-assisted development tools.
 * Ability to understand business requirements and translate them into technical solutions.
Preferred Qualifications

 * Experience developing Python-based AI workflows.
 * Experience with agentic AI architectures and multi-step AI workflows.
 * Experience with Azure AI and/or other cloud-based AI services.
 * Experience with additional LLM frameworks, orchestration tools, or MLOps platforms.
 * Experience working within the contingent workforce, VMS, project management, or professional services technology space.
 * Familiarity with Beeline, Bullhorn, or Clarity PPM is a strong plus, but prior experience with these specific platforms is not required.
 * Experience supporting Project Execution and Strategic Resourcing initiatives.
Technology Stack
Frontend: Vue.js
Backend: Node.js
AI / Agentic AI: LLMs, LangChain, LangGraph, RAG, AI Agents
AI Workflow Development: Python preferred
Database: PostgreSQL
Cloud: Microsoft Azure
Integration: REST APIs, API integrations
MLOps: AI/ML deployment, monitoring, and operationalization

## Description

We are seeking a Senior Full-Stack AI Engineer to help design and build AI-powered applications and agentic workflows across a variety of strategic projects. This role will combine full-stack software development, API integration, and hands-on AI engineering to build intelligent agents on top of custom applications.
The ideal candidate has recent, hands-on experience building AI agents and LLM-powered applications, with a strong understanding of LangChain, LangGraph, RAG, LLMs, and MLOps. Experience developing workflows in Python is a plus.
This is a highly hands-on development role. Engineers will leverage AI-assisted coding tools extensively, while using their software engineering expertise to review, validate, test, and refine AI-generated code.
Key Responsibilities

 * Design, develop, and integrate AI agents into custom business applications.
 * Build and maintain the pipelines and workflows that enable AI agents to operate effectively.
 * Develop backend services and APIs using Node.js.
 * Build and enhance frontend applications using Vue.js.
 * Design agentic workflows using LangChain and LangGraph.
 * Develop and implement RAG (Retrieval-Augmented Generation) solutions.
 * Integrate LLM capabilities into existing applications and business processes.
 * Work with PostgreSQL databases and cloud-based AI solutions.
 * Leverage Microsoft Azure to support AI agent workflows and related cloud services.
 * Collaborate with technical and business stakeholders to translate business requirements into scalable technical solutions.
 * Use AI-assisted development tools to accelerate coding while independently validating, testing, debugging, and improving generated code.
 * Support API integrations and connections between enterprise applications and AI services.
 * Contribute to MLOps practices and the deployment, monitoring, and maintenance of AI-powered applications.
 * Help establish reusable frameworks and patterns for building and deploying AI agents across multiple projects.