Full Stack AI Engineer - 8+ years in Python/Devops/Cloud

About the role: As a Staff Software Engineer (Full Stack), you will be hands-on in designing, building, and delivering innovative AI-powered solutions, drive technical strategy and embed within business units to reimagine processes and accelerate TR's AI-first transformation. Build & Design AI-Driven Systems Define technical standards and best practices for rapid prototyping and lead solution discovery Hands-on design and prototyping of complex, enterprise-scale AI-driven systems Personally build engaging front-ends using React, Next.js, TypeScript, and Tailwind CSS Directly develop robust back-ends with Python, FastAPI , Pydantic , and cloud infrastructure, including API design, data modeling, and AI service integration Provide Senior Technical Leadership Contribute to technical design decisions across the stack, including architecture, API design, and system integration patterns Lead technical architecture decisions and translate high-level business requirements into comprehensive, scalable technical specifications Mentor other engineers on the team, fostering technical growth and career development Serve as a senior thought leader, driving technical discussions in executive forums and representing Forward Engineering at internal events Lead Cross-Functional Collaboration Serve as a technical leader for full-stack projects through prioritization decisions, scoping out timelines, guiding the work of other engineers, and collaborating with cross-functional partners Embed directly with prioritized business units to develop deep domain expertise and build stakeholder relationships Partner with business leaders, functional SMEs, and product teams to co-create solutions and drive adoption Document solutions and architectural decisions for knowledge transfer and capability building About You You are a fit for the position if you have : Required Skills and Experience Core Engineering Experience Bachelor's degree in computer science, engineering, or equivalent experience; Master's degree preferred 8 years of hands-on software engineering experience across the full stack (we welcome engineers who are stronger in front-end or back-end but have demonstrated capability in both) Strong leadership experience driving technical initiatives as an individual contributor Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex, fast-paced environments Outstanding communication and presentation skills with experience influencing senior stakeholders Cloud & Infrastructure (Required) Deep, production-level experience with AWS or Azure - you should have designed , deployed, and operated systems on at least one of these platforms Experience with cloud orchestration and infrastructure tools (Docker, Kubernetes, Terraform, CloudFormation, or similar) Understanding of CI/CD pipelines and modern DevOps practices (GitHub Actions, GitLab CI, Azure DevOps, or similar) AI & Machine Learning (Required) Proficiency in Python and practical experience working with AI systems, including: Basic understanding and hands-on experience with large language models (LLMs) Experience building or integrating AI agents or agentic workflows Familiarity with LLM orchestration frameworks ( LangChain , LlamaIndex, Semantic Kernel, or similar) Familiarity with AI/ML frameworks ( PyTorch , TensorFlow, or similar) Demonstrated expertise integrating AI models into production systems using APIs, data pipelines, and cloud-native architecture Basic understanding of vector databases and RAG (Retrieval-Augmented Generation) patterns Data & APIs (Required) Experience designing and implementing RESTful APIs and/or GraphQL endpoints Hands-on experience with both SQL databases (PostgreSQL, MySQL, or similar) and NoSQL databases (MongoDB, DynamoDB, CosmosDB , or similar) Understanding of data modeling, database design, and optimization Security & Best Practices Understanding ... (truncated, view full listing at source)