Software Engineer – AI Backend Services

15 hours ago

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Pfizer

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We’re celebrating 175 years of daring scientific innovation—and we’re not done yet. Every day, we’re channeling our passion and resources into delivering innovative therapies that change the face of healthcare. Let’s outdo yesterday.

10,000+ employees

Founded 1849

💰 Post-IPO Debt on 2023-05

📋 Description

• Design and implement Python-based backend services (on FastAPI) for AI workloads, including LLM integration and generative AI pipelines • Own end-to-end design and delivery of APIs and microservices for model serving, inference, and orchestration of AI agents • Architect and maintain AWS-based infrastructure for AI workloads (e.g., Lambda, EKS) with focus on scalability and reliability • Make independent technical decisions for component-level architecture and design patterns • Lead integration efforts for LLMs and generative AI models into production systems using LangChain, Langfuse, and litellm • Establish monitoring, logging, and observability best practices for AI backend services • Optimize backend performance for large-scale AI applications • Mentor Software Engineer II team members through code reviews and technical guidance • Collaborate with cross-functional teams and influence technical direction across multiple projects

🎯 Requirements

• 4-7 years of professional software engineering experience with strong backend focus • Expert-level proficiency in Python for backend development in production environments • Solid 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 systems • Strong experience with containerization (Docker/Kubernetes) • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development