AI Backend Python Engineer (Software Engineer III)

Pfizer, S.A. de C.V; Deutschland; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A global biopharmaceutical company is seeking an AI Backend Python Engineer (SE III) in Germany. The role involves designing and developing backend systems for generative AI applications, focusing on Python, FastAPI, and AWS. Candidates should have 4-7 years of backend software engineering experience, strong proficiency in Python, and familiarity with AWS and microservices architecture. The position offers competitive compensation and mentorship opportunities for junior engineers.

Leistungen

Competitive compensation

Benefits programs

Qualifikationen

• 4-7 years of professional software engineering experience with a strong backend focus.
• Expert-level proficiency in Python for backend development in production environments.
• Proven experience designing and building scalable systems on AWS.

Aufgaben

• Design and implement Python-based backend services for AI workloads.
• Own end-to-end design and delivery of APIs and microservices.
• Mentor Software Engineer II team members through code reviews and technical guidance.

Kenntnisse

Python

AWS

FastAPI

Docker

Kubernetes

Microservices

API design

AI concepts

Ausbildung

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Amazon EKS

LangChain

Langfuse

litellm

Jobbeschreibung

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.

Pfizer Digital takes immense pride in being at the forefront of innovation, harnessing cutting‑edge smart technology that profoundly impacts the lives of our patients.

Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

The AI Backend Python Engineer (SE III) 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.

KEY RESPONSIBILITIES

• 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

BASIC QUALIFICATIONS

• 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) and orchestration
• Demonstrated ability to own technical components and make independent architectural decisions
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience

PREFERRED QUALIFICATIONS

• Extensive experience building and scaling APIs and backend systems for AI/ML workloads in production
• Deep expertise with FastAPI and asynchronous Python programming
• Experience architecting event‑driven systems for AI applications
• Track record of mentoring engineers and conducting effective code reviews
• Strong understanding of system design patterns and trade‑offs
• Experience with infrastructure‑as‑code (Terraform, CloudFormation)
• Knowledge of model deployment strategies and MLOps practices
• Proven ability to drive technical initiatives and influence engineering culture
• Excellent communication skills and experience working across teams

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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