Software Engineer - Full Stack,… at ServiceLink · US-TX-Pla…

Summary: ServiceLink is transforming the mortgage landscape with an AI-First mindset, focusing on leveraging artificial intelligence and intelligent systems. The Software Engineer - Full Stack will build high-quality software solutions, develop scalable services and APIs, and collaborate with cross-functional teams to deliver innovative technology for mortgage solutions. Responsibilities: - Build high‑quality software solutions using modern engineering best practices, supported by AI-assisted development tools - Apply AI copilots and automated agents to enhance coding, testing, debugging, documentation, and system design workflows - Develop and maintain scalable services, APIs, and applications across our technology stack - Create internal tools, scripts, and AI‑powered automations that improve engineering productivity and reduce operational overhead - Translate product requirements and user needs into clear, elegant technical solutions - Collaborate closely with product managers, designers, and cross‑functional engineering teams to deliver features from concept to production - Use AI‑driven insights to explore solution trade-offs, improve development velocity, and validate architectural decisions - Contribute to architectural reviews, technical design documents, and system-level decision-making - Improve code quality, reliability, and performance through unit testing, AI‑enhanced test generation, and continuous integration pipelines - Stay current on emerging AI tools, frameworks, and engineering trends—and help shape how our team adopts and operationalizes them - Design, develop, and ship scalable, reliable, and high‑performance software solutions - Leverage AI tools (e.g., GitHub Copilot, Cursor, Clause Code, M365 Copilot, Azure OpenAI, LLM-based agents) to enhance coding, design, testing, and documentation workflows - Build internal tooling, agents, and automations that boost developer productivity and code quality - Collaborate with product, design, and engineering teams to translate business requirements into technical solutions - Implement modern software engineering best practices, including CI/CD, automated testing, and observability - Analyze complex problems and use AI‑driven approaches to accelerate decision‑making and solution exploration - Contribute to architectural discussions and drive continuous improvement across engineering processes Required Qualifications: - 1+ years of software engineering experience (or equivalent) - Proficiency in one or more languages: Python, C#, TypeScript/JavaScript, or similar - Experience using or integrating AI development tools (e.g., LLM-based code assistants, automated testing tools, vector DBs, embedding models) - Strong understanding of distributed systems, APIs, microservices, or cloud-native development - Familiarity with modern DevOps practices (Docker, Kubernetes, CI/CD pipelines) - Ability to work collaboratively in an agile, fast-paced environment - Curiosity and a continuous learning mindset — especially around AI and automation Preferred Qualifications: - Experience fine‑tuning LLMs, building AI agents, or developing prompt‑driven applications - Knowledge of MLOps, RAG systems, or multimodal AI integration - Background in data engineering or applied machine learning - Contributions to open-source projects or AI developer communities Required Skills: Software engineering, Python, C#, TypeScript, JavaScript, AI development tools, Distributed systems, APIs, Microservices, Cloud-native development, DevOps practices, Docker, Kubernetes, CI/CD pipelines, Data structures, Algorithm design, System architecture, Curiosity, Continuous learning mindset