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Software Engineer, AI Engineer (Applied​/Software), Backend Developer

Job in Bay City, Matagorda County, Texas, 77404, USA
Listing for: CBTS
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, Azure
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

We are seeking a hands‑on AI Developer to build, enhance, and support artificial intelligence solutions that drive innovation and operational efficiency across the organization. This role will focus on developing AI-powered applications, integrating generative AI capabilities into business processes, and creating scalable solutions using Microsoft Azure's AI ecosystem.

The ideal candidate is a strong software developer with experience in Python, Azure cloud technologies, APIs, and modern AI frameworks. This individual should be passionate about leveraging AI to solve business challenges and delivering production-ready solutions.

Key Responsibilities
  • Design, develop, test, and deploy AI-powered applications and services.
  • Build Generative AI solutions using Azure OpenAI, Large Language Models (LLMs), and prompt engineering techniques.
  • Develop and maintain Retrieval-Augmented Generation (RAG) solutions utilizing enterprise data sources.
  • Create intelligent chatbots, copilots, virtual assistants, and workflow automation solutions.
  • Develop APIs and backend services to support AI applications and integrations.
  • Integrate AI capabilities into existing business applications, ERP systems, and operational workflows.
  • Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
  • Work with structured and unstructured data to support AI model performance and business use cases.
  • Participate in code reviews, testing, deployment, and ongoing support of AI solutions.
  • Troubleshoot and optimize AI applications for performance, reliability, and scalability.
  • Follow security, governance, and responsible AI practices throughout the development lifecycle.
  • Stay current on emerging AI technologies, tools, and development frameworks.
Required Qualifications
  • 3+ years of software development experience.
  • Strong proficiency in Python development.
  • Experience building cloud-based applications using Microsoft Azure.
  • Hands‑on experience with Azure OpenAI, Azure AI Services, or similar AI platforms.
  • Experience developing and consuming REST APIs.
  • Understanding of Large Language Models (LLMs), prompt engineering, and Generative AI concepts.
  • Experience with SQL databases and data integration.
  • Familiarity with Git, source control, and modern software development practices.
  • Strong analytical and problem‑solving skills.
  • Ability to communicate effectively with technical and non‑technical stakeholders.
Preferred Qualifications
  • Experience building AI copilots, chatbots, or conversational AI applications.
  • Experience with Lang Chain, Semantic Kernel, Auto Gen, CrewAI, or similar AI frameworks.
  • Experience implementing RAG architectures and vector database solutions.
  • Knowledge of Azure Machine Learning and MLOps practices.
  • Experience integrating AI solutions with ERP, manufacturing, operational, or enterprise systems.
  • Familiarity with Power Platform, Power Automate, or Microsoft Copilot Studio.
  • Experience with Docker, Kubernetes, or cloud‑native application development.
  • Microsoft Azure AI Engineer Associate or related certifications.
Technical Environment
  • Python
  • REST APIs
  • SQL Server / Relational Databases
  • Generative AI
  • Prompt Engineering
  • RAG (Retrieval‑Augmented Generation)
  • Vector Databases
  • Lang Chain / Semantic Kernel (Preferred)
What Success Looks Like
  • Deliver AI applications that improve productivity, automation, and decision‑making.
  • Successfully deploy and support AI solutions in production environments.
  • Develop scalable, maintainable, and secure applications aligned with business objectives.
  • Collaborate effectively with business and technical teams to accelerate AI adoption.
  • Contribute to the organization's growing AI capabilities and innovation initiatives.
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