[Remote] Full-Stack Senior AI Software Engineer - Remote - Pittsburgh, PA - Direct Client - JOBID742

Note: The job is a remote job and is open to candidates in USA. Outcome Logix is a Tech 50 Finalist company recognized by the Pittsburgh Technology Council. They are seeking a Full-Stack Senior AI Software Engineer to design and implement AI applications and scalable backend services while ensuring security and quality in software development. ResponsibilitiesDesign, develop, implement, support, and maintain applications based on business requirements, using approved technologies and coding standardsDesign, develop, implement, support, and maintain software components and systems to adhere to and satisfy engineering, scientific, regulatory, and manufacturing requirementsDesign and develop Agentic AI applications that automate multi-step workflows and solve real-world operational challenges (e.g., systems that interpret context, plan actions, call tools/services, and complete tasks end-to-end)Apply secure coding practices to prevent security vulnerabilities in code and contribute to enterprise standards that enable safe, scalable Agentic AI adoptionIntegrate LLMs into SaaS applications via secure, robust service layers and APIs, including orchestration, evaluation, and implement modern GenAI patterns such as RAG (Retrieval-Augmented Generation)Design and implement scalable backend services in Python and REST APIs that support AI/agent capabilities and product workflowsPartner with UX/design and product stakeholders to deliver intuitive AI/agent user experiences for enterprise usersBuild, deploy, and operate cloud-native services in Microsoft Azure and Google Cloud Platform (GCP)Collaborate with data engineering teams to ensure data quality, governance alignment, and performance for AI/agent use casesContainerize services using Docker and support CI/CD pipelines for reliable deliveryProvide technical leadership as a senior individual contributor driving architecture, code quality, engineering best practices, and mentor team membersSkills Design, develop, implement, support, and maintain applications based on business requirements, using approved technologies and coding standardsDesign, develop, implement, support, and maintain software components and systems to adhere to and satisfy engineering, scientific, regulatory, and manufacturing requirementsDesign and develop Agentic AI applications that automate multi-step workflows and solve real-world operational challenges (e.g., systems that interpret context, plan actions, call tools/services, and complete tasks end-to-end)Apply secure coding practices to prevent security vulnerabilities in code and contribute to enterprise standards that enable safe, scalable Agentic AI adoptionIntegrate LLMs into SaaS applications via secure, robust service layers and APIs, including orchestration, evaluation, and implement modern GenAI patterns such as RAG (Retrieval-Augmented Generation)Design and implement scalable backend services in Python and REST APIs that support AI/agent capabilities and product workflowsPartner with UX/design and product stakeholders to deliver intuitive AI/agent user experiences for enterprise usersBuild, deploy, and operate cloud-native services in Microsoft Azure and Google Cloud Platform (GCP)Collaborate with data engineering teams to ensure data quality, governance alignment, and performance for AI/agent use casesContainerize services using Docker and support CI/CD pipelines for reliable deliveryProvide technical leadership as a senior individual contributor driving architecture, code quality, engineering best practices, and mentor team membersDemonstrated professional software engineering experience building SaaS applications with scalable backend services and modern frontendsExperience integrating LLMs / Generative AI in cloud-based applicationsExperience building Agentic AI systems that automate real-world workflows and integrate with APIs/tools/servicesStrong proficiency in PythonStrong experience with REST API design and implementationExperience with UI/UX development frameworks that include React, JavaScript, Svelte, Angular, TypeScript, HTML5/CSS3Cloud experience with Microsoft Azure and Google Cloud Platform (GCP)Database experience with MongoDB, vector database Milvus, plus one or more relational databases (MS SQL, Oracle)Experience with Docker/containerization, and Kubernetes based container orchestrationExperience in contributing to application architecture and designExperience in data modeling, domain-driven design, and test-driven developmentExperience in Agile methodologies and Azure CI/CD automationLeadership oriented: you realize you are part of a larger team and success is based off direct a