REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Full-Stack AI Solutions Engineer
XX
Full Stack AI Solutions EngineerPfizer, S.A. de C.V • Cambridge, Massachusetts, United States
Jetzt Bewerben
XX

Full Stack AI Solutions Engineer

Pfizer, S.A. de C.V
  • US
    Cambridge, Massachusetts, United States
  • US
    Cambridge, Massachusetts, United States
Jetzt Bewerben

Über

Location United States - Massachusetts - Cambridge
Overview 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 Research & Development serves as the beating heart of Pfizer's trailblazing product pipeline, the essence of our mission to bring life‑changing medicines to the world.
Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.
Position Summary In this innovative 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. This is a unique opportunity to bridge modern web technologies with Large Language Model (LLM) capabilities, creating intuitive user experiences that solve real‑world scientific challenges. As you deliver core solutions, you'll have the exciting opportunity to contribute to pioneering research in semantic frameworks that benchmark and expand the understanding of concepts and semantic similarity in LLMs.
Position Responsibilities
Design and implementation of production‑grade full‑stack applications that seamlessly integrate LLM and AI capabilities into scientific workflows, enabling researchers to leverage cutting‑edge artificial intelligence in their daily work.
Direct collaboration with medicinal chemists, biomedical researchers, and domain experts to deeply understand requirements, translate scientific challenges into technical solutions, and deliver intuitive, user‑centric applications.
Development of scalable backend services using Python frameworks for data processing, embedding generation, vector search, and LLM orchestration that power AI‑driven research tools.
Creation of responsive, modern frontend interfaces using React and TypeScript that provide exceptional user experiences and dramatically enhance researcher productivity.
Implementation of retrieval‑augmented generation (RAG) systems, conversational AI interfaces, and agentic LLM architectures that automate knowledge work in pharmaceutical research.
Deployment and maintenance of production systems on AWS cloud infrastructure with emphasis on reliability, performance, scalability, and optimal user experience.
Rapid iteration and continuous improvement based on user feedback, evolving scientific needs, and emerging AI/LLM capabilities.
Integration of semantic search technologies, vector databases and embedding models to enable intelligent information retrieval.
Contribution to the development of novel semantic frameworks and conceptual research that advances 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 and 2+ years of experience building AI powered research applications.
Strong technical problem solving skills with ability to translate complex scientific requirements into elegant technical solutions.
2+ years of programming experience in Python and TypeScript with experience building production‑quality software.
Portfolio of production‑grade full‑stack applications with Python backends and React frontends (GitHub portfolio required).
Experience with modern web frameworks including backend frameworks (FastAPI) and frontend frameworks (React.js).
Excellent communication and collaboration skills with experience working effectively in cross‑functional teams.
Strong communications skills—written, verbal and presentation.
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.
Familiarity with MongoDB, PostgreSQL or other modern database technologies for data persistence and retrieval.
Demonstrated experience implementing, training, fine‑tuning, or applying deep learning models to natural language processing 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 (e.g. Docker) for scalable application deployment.
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.
Non‑Standard Work Schedule, Travel or Environment Requirements
Flexibility to collaborate across time zones with global research teams as needed.
Occasional travel may be required for team meetings, scientific conferences, or collaborative workshops.
This is a hybrid role requiring you to live within commuting distance and work on‑site an average of 2.5 days per week or more as needed.
Salary and Benefits The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share‑based long‑term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
Relocation Assistance Relocation assistance may be available based on business needs and/or eligibility.
Eligibility Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN, O‑1, H‑1B, etc.) is not available for this role now or in the future.
Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
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 or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. 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. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
AI Use Guidelines To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI‑use guidelines available at Pfizer Careers.
#J-18808-Ljbffr
  • Cambridge, Massachusetts, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.