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We’re in relentless pursuit of breakthroughs that change patients’ lives.
The 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 role
KEY RESPONSIBILITIES
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Work assignment location : Remote
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business Tech
This is an individual contributor role
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
Work assignment location : Remote
Pfizer 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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The Company
What We Do
Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.
Why Work With Us
We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.
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Employees engage in a combination of remote and on-site work.
Typical time on-site:
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