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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Software Engineer - **Company:** Staffxpert Llc - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $73,450.0 - $132,775.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Application Performance Management, Microsoft Azure, Cloud Computing, Databases, Information Engineering, Distributed Computing Environment, Distributed Systems, Github, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Multiprocessing, Next.js, Software Engineering, Software Systems, Data Streaming, Systems Integration, Web Application Frameworks, Data Processing, Multithreading, Enterprise Software Applications, ReactJS, Large Language Models, Apache Spark, Software Application Programming, Generative AI, Fastapi, Data Lakes, Apache Kafka, Graphql, Api Design, Restful APIs, Data Pipelines, Docker, Databricks - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us794901fdfb2be80b0924d500f8083b61 ## About the Role Strong professional experience developing applications with Python and modern web frameworks. Hands-on experience with FastAPI and GraphQL/Strawberry. Experience developing and integrating RESTful APIs and understanding API architecture principles. Experience with Kafka or Azure Event Hubs and real-time streaming data pipelines. Strong database experience with PostgreSQL, MongoDB, or similar technologies. Experience with Spark, Delta Lake, and distributed data processing. Hands-on experience with Azure Databricks. Experience integrating OpenAI, Llama, or other mainstream LLM/GenAI APIs. Strong understanding of Microsoft Azure cloud architecture, scalability, and distributed systems. Experience with Docker and Kubernetes. Experience building CI/CD pipelines using Azure DevOps or GitHub Actions. Proven experience designing and developing medium-scale applications supporting approximately 5,000 daily active users. Experience handling high-concurrency workloads using multiprocessing, multithreading, or actor-model approaches. Excellent problem-solving, communication, and analytical skills. Preferred Qualifications Experience with LangChain and GenAI model integrations. Full-stack development experience. Familiarity with JavaScript, React, or Next.js. Experience working in the telecommunications industry or related domains. Strong understanding of AI/ML application architecture and enterprise software development practices. ## Description STAFFXPERT LLC is seeking a Senior AI Software Engineer on behalf of our client in Dallas, TX or Atlanta, GA This is a hands-on technical role for an experienced engineer who can help shape requirements, contribute to system design, develop AI-enabled applications, troubleshoot complex issues, and establish engineering best practices. The ideal candidate will have strong expertise in Python, modern API development, streaming data, Azure cloud technologies, Databricks, GenAI/LLM APIs, and scalable distributed systems. Key Responsibilities Collaborate with technical leads and product owners to understand requirements and refine user stories. Design, develop, test, and deploy scalable AI and software solutions. Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry. Develop real-time data pipelines using Kafka or Azure Event Hubs. Design and integrate applications with databases such as PostgreSQL and MongoDB. Develop scalable data-processing solutions using Apache Spark and Delta Lake. Build and support collaborative data engineering and machine-learning workflows using Databricks. Integrate LLM/Generative AI APIs into enterprise applications. Design and implement cloud-native solutions using Microsoft Azure. Deploy and manage applications using Docker and Kubernetes. Develop and maintain CI/CD pipelines using Azure DevOps or GitHub Actions. Troubleshoot technical issues, optimize application performance, and promote engineering best practices. Collaborate with engineers across different experience levels and technical disciplines. 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