Full Stack AI Solutions EngineerPfizer, S.A. de C.V • Cambridge, Massachusetts, United States
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Full Stack AI Solutions Engineer
Pfizer, S.A. de C.V
- Cambridge, Massachusetts, United States
- Cambridge, Massachusetts, United States
À propos
Position Summary In this role you will combine cutting‑edge software engineering with artificial intelligence to build next‑generation knowledge‑work automation tools that directly impact pharmaceutical research outcomes. You will work at the forefront of applied AI, collaborating closely with Medicinal Chemists and Biomedical Scientists to design, develop, and deploy intelligent systems that enhance productivity and accelerate decision‑making in drug discovery.
Position Responsibilities
Design and implementation of production‑grade full‑stack applications that seamlessly integrate LLM and AI capabilities into scientific workflows.
Direct collaboration with medicinal chemists, biomedical researchers, and domain experts to understand requirements and translate scientific challenges into technical solutions.
Develop scalable backend services using Python for data processing, embedding generation, vector search, and LLM orchestration.
Create responsive, modern front‑end interfaces using React and TypeScript.
Implement retrieval‑augmented generation (RAG) systems, conversational AI interfaces, and agentic LLM architectures.
Deploy and maintain production systems on AWS cloud infrastructure focusing on reliability, performance, scalability, and user experience.
Iterate rapidly and continuously improve based on user feedback and emerging AI/LLM capabilities.
Integrate semantic search technologies, vector databases, and embedding models for intelligent information retrieval.
Contribute to the development of novel semantic frameworks and conceptual research that advance AI‑driven knowledge systems for drug discovery.
Strengthen cross‑functional collaboration and knowledge sharing through clear communication, documentation, and engagement with the broader research community.
Basic Qualifications
PhD in Biology, Chemistry, Pharmacology, Toxicology, Computer Science, or a related technical discipline OR Master’s degree with 2+ years of experience building AI‑powered research applications.
Strong technical problem‑solving skills with the ability to translate complex scientific requirements into elegant technical solutions.
2+ years of programming experience in Python and TypeScript with production‑quality software.
Portfolio of production‑grade full‑stack applications with Python back‑ends and React front‑ends (GitHub portfolio required).
Experience with modern web frameworks (FastAPI for back‑end, React.js for front‑end).
Excellent communication and collaboration skills, with experience in cross‑functional teams.
Strong written, verbal, and presentation communication skills.
Preferred Qualifications
Background or demonstrated interest in life sciences, pharmaceutical research, drug discovery, or cheminformatics.
Hands‑on experience with LLM frameworks and libraries (OpenAI API, Hugging Face Transformers, Anthropic Claude).
Practical knowledge of prompt engineering, LLM optimization techniques, and best practices for building LLM‑powered applications.
Experience building conversational AI interfaces, chatbots, or agentic systems with autonomous decision‑making capabilities.
Familiarity with vector databases and semantic search technologies for similarity search and retrieval.
Knowledge of MongoDB, PostgreSQL, or other modern database technologies.
Experience implementing, training, fine‑tuning, or applying deep learning models to NLP or computer vision problems using PyTorch.
Experience with AWS cloud infrastructure and services (EC2, S3, CloudFormation, RDS) and DevOps best practices.
Knowledge of containerization and orchestration tools (Docker, Kubernetes).
Experience with CI/CD pipelines, automated testing, and deployment automation tools (GitHub Actions, Jenkins, GitLab CI).
Physical/Mental Requirements
Ability to perform complex technical problem‑solving and system design requiring sustained concentration and analytical thinking.
Ability to rapidly context‑switch between different technical domains (frontend, backend, AI/ML, infrastructure) and scientific problem spaces.
Travel and Work Schedule
Flexibility to collaborate across time zones with global research teams.
Occasional travel may be required for team meetings, scientific conferences, or collaborative workshops.
This is a hybrid role requiring on‑site work in the office an average of 2.5 days per week or more as needed.
Salary and Benefits Annual base salary ranges from $106,000.00 to $176,600.00 and is eligible for a bonus target of 15.0% of the base salary under Pfizer’s Global Performance Plan. The role may also participate in Pfizer’s share‑based long‑term incentive program.
Benefits include a 401(k) plan with Pfizer matching contributions, a Pfizer Retirement Savings Contribution, paid vacation, holidays, personal days, paid caregiver/parental and medical leave, and health benefits (medical, prescription drug, dental, and vision coverage).
Relocation Assistance Relocation assistance may be available based on business needs and/or eligibility.
EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, national origin, disability, or veteran status. Pfizer complies with all applicable nondiscrimination, work authorization, and employment eligibility verification requirements. Pfizer is an E‑Verify employer. This position requires permanent work authorization in the United States.
Accessibility Pfizer endeavors to make www.pfizer.com/careers accessible to all users. For accessibility assistance during the application process, please contact disabilityrecruitment@pfizer.com.
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Compétences linguistiques
- English
Avis aux utilisateurs
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