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# AI Engineer

- **Company:** InnoCore Solutions, Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Distributed Systems, Python (Programming Language), Software Engineering, TypeScript, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Event Driven Architecture, AI Platforms, Information Technology, Virtual Agents, Restful APIs, Microservices
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/26b1aeed-5e73-46d7-a942-a5494f957b34

## About the Role

* 5+ years of software development experience.
 * 2+ years Agentic AI Development experience, hands-on experience building AI agents using LangGraph, LangChain, Semantic Kernel, or similar frameworks, Vector Databases (Pinecone, pgvector, Weaviate, ChromaDB, FAISS, or similar)
 * Strong understanding of prompt engineering, tool calling, agent orchestration, and LLM workflows.
 * Strong proficiency in Python and JavaScript/TypeScript.
 * Good working knowledge of Java and Spring Boot.
 * Strong understanding of microservices architecture, distributed systems, REST APIs, and event-driven design.
 * Experience integrating AI solutions with enterprise applications.
 * MCP (Model Context Protocol) or AI tool integration

Education:

 * Bachelor's degree in Computer Science/Engineering or related field

## Description

We are looking for a Senior AI Engineer to build production-grade AI agents integrating with enterprise applications supporting multiple customer journeys on our client website. This role focuses on developing AI solutions using Python and JavaScript/TypeScript with modern agent orchestration frameworks such as LangGraph and LangChain., * Design and develop AI agents using LangGraph, LangChain, or similar frameworks.

 * Build multi-agent workflows, tool integrations, and RAG solutions.
 * Develop AI services and APIs using Python and JavaScript/TypeScript.
 * Integrate AI agents with Java Spring Boot micro-services through REST APIs and event-driven architectures.
 * Design prompts, tool-calling workflows, memory, and agent orchestration.
 * Build reliable, scalable, and production-ready AI applications.


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