Software Engineer (AI Backend Services) - Evergreen Role

The Software Engineer (AI Backend Services) will design, develop, and own backend systems and components that power generative AI applications and large language model (LLM) integrations. This role focuses on independently architecting and delivering scalable, secure, and high-performance services using Python, FastAPI, and AWS cloud infrastructure, while mentoring junior engineers.This is an individual contributor roleKEY RESPONSIBILITIESDesign and implement Python-based backend services (on FastAPI) for AI workloads, including LLM integration and generative AI pipelinesOwn end-to-end design and delivery of APIs and microservices for model serving, inference, and orchestration of AI agentsArchitect and maintain AWS-based infrastructure for AI workloads (e.g., Lambda, EKS) with focus on scalability and reliabilityMake independent technical decisions for component-level architecture and design patternsLead integration efforts for LLMs and generative AI models into production systems using LangChain, Langfuse, and litellmEstablish monitoring, logging, and observability best practices for AI backend servicesOptimize backend performance for large-scale AI applicationsMentor Software Engineer II team members through code reviews and technical guidanceCollaborate with cross-functional teams and influence technical direction across multiple projectsBASIC QUALIFICATIONS4-7 years of professional software engineering experience with strong backend focusExpert-level proficiency in Python for backend development in production environmentsSolid understanding of LLMs, generative AI concepts, and modern AI frameworks (e.g., LangChain, litellm, Langfuse)Proven experience designing and building scalable systems on AWS (Lambda, API Gateway, EKS)Deep knowledge of microservices architecture, API design, and distributed systemsStrong experience with containerization (Docker/Kubernetes) and orchestrationDemonstrated ability to own technical components and make independent architectural decisionsBachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experiencePREFERRED QUALIFICATIONSExtensive experience building and scaling APIs and backend systems for AI/ML workloads in productionDeep expertise with FastAPI and asynchronous Python programmingExperience architecting event-driven systems for AI applicationsTrack record of mentoring engineers and conducting effective code reviewsStrong understanding of system design patterns and trade-offsExperience with infrastructure-as-code (Terraform, CloudFormation)Knowledge of model deployment strategies and MLOps practicesProven ability to drive technical initiatives and influence engineering cultureExcellent communication skills and experience working across teamsWork assignment location : RemotePfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.Information & Business Tech

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