> Markdown version of [/jobs/ext/4516410-sr-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4516410-sr-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI Engineer - **Company:** Globality, Inc. - **Location:** Palo Alto, CA, United States - **Experience:** Expert - **Salary:** $150,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Training Data, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Structures, Programming Tools, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Systems Development Life Cycle, Azure Machine Learning, Software Engineering, Google Cloud, Performance Testing, Large Language Models, Apache Spark, Generative AI, Agentic-AI, Information Technology, Apache Kafka, Build Tools, Machine Learning Operations, Software Version Control, Data Pipelines, Docker - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-ai-engineer-palo-alto-ca--5cf891bd-339f-4670-954d-f8642d148624 ## About the Role Artificial Intelligence (AI), Vendor/Supplier Evaluation, Purchasing/Procurement, Negotiation Skills, Materials Analysis, Programming Tools, Artificial Intelligence (AI), Software Engineering, Machine Tool, Scalable System Development, * Bachelor's or Master's in Computer Science, Engineering, or related field * 4+ years of experience building production-grade AI/ML platforms or developer-centric AI tools * Strong software engineering skills in Python (preferred) and familiarity with Java/Go and OOP/data structures * Familiarity with LLM prompting design, agentic workflows (e.g. LangGraph) * Experience building and deploying on cloud platforms (AWS, Google Cloud, Azure); familiar with Docker and Kubernetes * Solid understanding of MLOps principles: CI/CD, model versioning, monitoring, metrics * Exceptional communication and collaboration across engineering and product teams Nice to Have * Experience with large-scale data pipelines (e.g., Apache Spark, Kafka) * Certifications in cloud platforms, ML engineering, or specific AI tooling * Awareness of AI ethics, biases, fairness, and data privacy protocols ## Description We're seeking a Sr. AI Software Engineer with deep expertise in building scalable AI platforms and developer tools. This role is ideal for someone passionate about enabling AI innovation through robust infrastructure, intuitive tooling, and seamless integration of cutting-edge models. You'll be at the forefront of operationalizing AI-designing systems that empower teams to build, deploy, and iterate on intelligent applications with speed and reliability., * Platform Architecture & Development: Design and implement scalable AI platforms using Python. Integrate MLOps tools for model versioning, deployment, monitoring, and lifecycle management. * AI Tooling & LLM Capabilities: Build tools and abstractions to interface with large language models, including prompting frameworks, agentic workflows (e.g., with LangGraph), and LLM orchestration services. * Data Engineering & ETL: Collaborate with data teams to build robust ETL pipelines, preprocess training data, and construct feature workflows that feed AI models at scale. * Reliability & Monitoring: Implement model monitoring dashboards to ensure platform reliability and performance, and investigate production prompt results. * Research & Innovation: Stay ahead of cutting-edge trends in Generative AI. Prototype AI scenarios that unlock new product or operational value. * Testing, Documentation & Standards: Define rigorous unit, integration, and performance testing methodologies. Maintain comprehensive documentation and enforce best practices for ethical and secure AI usage.