AI Engineer

Compunnel Inc.; Coppell (TX); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Compunnel, Inc. is seeking a Senior Software Developer with 5+ years of AI engineering experience to build AI‑driven automation solutions. The role focuses on LangGraph workflows, IBM Watsonx Orchestrate integrations, and Google Vertex AI capabilities, including RAG, embeddings, and safety.

You will deploy models across AWS, Google Cloud, or Azure and develop Java/Python applications. The candidate will design scalable services, work with multi‑agent systems, and apply ethical reasoning to

Qualifications

• 5+ years of professional software development or relevant AI engineering experience.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• Strong experience with AI/ML.
• Strong hands‑on experience with LangGraph, including graphs, tool nodes, memory/state, and streaming agents.
• Strong hands‑on experience with IBM Watsonx Orchestrate, including skills, connectors, and process automation.
• Strong hands‑on experience with Google Vertex AI, including Gemini, RAG, Vector Search, embeddings, and safety capabilities.
• Proficiency in Java.
• Proficiency in Python.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure for AI deployment.
• Experience with NLP, multi‑agent systems, AI automation, or related technologies.

Responsibilities

• Design and develop AI‑driven and agentic automation solutions using modern AI technologies.
• Build agentic workflows using LangGraph, including graphs, tool nodes, memory/state management, and streaming agents.
• Develop AI‑powered process automation using IBM Watsonx Orchestrate, including skills, connectors, and process automation.
• Leverage Google Vertex AI, including Gemini, Retrieval‑Augmented Generation (RAG), Vector Search, embeddings, and AI safety capabilities.
• Apply machine learning and deep learning concepts, including AI models, neural networks, and reinforcement learning.
• Develop natural language processing (NLP) solutions that interpret and generate human language.
• Design and implement multi‑agent systems where AI agents collaborate, negotiate, and operate independently.
• Deploy AI solutions and models using cloud platforms such as AWS, Google Cloud, or Azure.
• Design AI‑driven Robotic Process Automation (RPA) solutions to automate repetitive business processes.
• Develop and maintain applications using Java and Python.
• Analyze complex AI outputs, troubleshoot unexpected AI behavior, and optimize model and application performance.
• Apply ethical reasoning to help ensure AI applications support responsible and unbiased decision‑making.
• Collaborate with cross‑functional teams to integrate AI systems into business processes and applications.

Skills

AI/ML proficiency

Team collaboration

Problem solving

Ethical AI reasoning

Architectural thinking

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or related field

Tools

LangGraph

IBM Watsonx Orchestrate

Google Vertex AI

Java

Python

AWS

Google Cloud

Azure

Job description

Seeking a Senior Software Developer with 5+ years of experience and deep hands‑on expertise in building AI‑driven and agentic automation solutions. The ideal candidate will have strong experience with LangGraph, IBM Watsonx Orchestrate, and Google Vertex AI, with the ability to design scalable services incorporating advanced reasoning, workflow orchestration, multi‑agent systems, and AI/ML capabilities.

Key Responsibilities:

• Design and develop AI‑driven and agentic automation solutions using modern AI technologies.
• Build agentic workflows using LangGraph, including graphs, tool nodes, memory/state management, and streaming agents.
• Develop AI‑powered process automation using IBM Watsonx Orchestrate, including skills, connectors, and process automation.
• Leverage Google Vertex AI, including Gemini, Retrieval‑Augmented Generation (RAG), Vector Search, embeddings, and AI safety capabilities.
• Apply machine learning and deep learning concepts, including AI models, neural networks, and reinforcement learning.
• Develop natural language processing (NLP) solutions that interpret and generate human language.
• Design and implement multi‑agent systems where AI agents collaborate, negotiate, and operate independently.
• Deploy AI solutions and models using cloud platforms such as AWS, Google Cloud, or Azure.
• Design AI‑driven Robotic Process Automation (RPA) solutions to automate repetitive business processes.
• Develop and maintain applications using Java and Python.
• Analyze complex AI outputs, troubleshoot unexpected AI behavior, and optimize model and application performance.
• Apply ethical reasoning to help ensure AI applications support responsible and unbiased decision‑making.
• Collaborate with cross‑functional teams to integrate AI systems into business processes and applications.

Required Qualifications:

• 5+ years of professional software development or relevant AI engineering experience.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• Strong experience with AI/ML.
• Strong hands‑on experience with LangGraph, including graphs, tool nodes, memory/state, and streaming agents.
• Strong hands‑on experience with IBM Watsonx Orchestrate, including skills, connectors, and process automation.
• Strong hands‑on experience with Google Vertex AI, including Gemini, RAG, Vector Search, embeddings, and safety capabilities.
• Proficiency in Java.
• Proficiency in Python.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure for AI deployment.
• Experience with NLP, multi‑agent systems, AI automation, or related technologies.

Preferred Qualifications:

• Experience with IBM Watsonx Platform, including Watsonx Assistant, AI, and Orchestrate.
• Experience with chatbot development.
• Experience designing scalable AI services and agentic automation solutions.
• Strong critical‑thinking and problem‑solving skills, particularly when evaluating AI outputs and handling complex situations under uncertainty.