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 of authentication and authorization patterns (OAuth 2.0, OpenID Connect, or similar)   Knowledge of security best practices including secrets management and secure API design   Bonus Points   Advanced AI/ML Experience  4+ years of experience   leveraging   advanced AI/ML frameworks in production systems   Advanced knowledge of vector databases (Pinecone,   Weaviate , Chroma,   pgvector ), embeddings, semantic search, and information retrieval systems   Experience with prompt engineering and management tools ( LangSmith ,   PromptLayer , or similar)   Experience with AI governance, model risk management, and regulatory compliance   Infrastructure & Scale  Experience with message queues and event-driven architectures (Kafka, RabbitMQ, AWS SQS/SNS, Azure Service Bus, or similar)   Experience with serverless architectures (AWS Lambda, Azure Functions)   Observability & Quality  Production experience with APM and observability tools (Datadog, New Relic, Application Insights, or similar)   Experience implementing comprehensive testing strategies (unit, integration, e2e) using modern testing frameworks   Knowledge of distributed tracing and logging systems ( OpenTelemetry , ELK Stack, CloudWatch)   #LI-NR1 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work ar