• Job Description

  Req#: 5711

  Description:

  We are seeking a talented and driven AI Engineer to join our cross-functional AI innovation team within a leading pharmaceutical organization. You will work on designing, developing, and deploying GenAI-driven solutions, retrieval-augmented generation (RAG) systems, and scalable ML-powered applications across cloud-native environments to support drug development, regulatory, manufacturing, and commercial operations. The ideal candidate combines a strong academic foundation in machine learning with hands-on experience building real-world AI systems and full-stack applications that comply with the high standards of a regulated industry.

  
  Essential Functions:

  • Design and implement GenAI applications including LLM-integrated tools, RAG systems, and intelligent chatbots tailored for pharmaceutical functions such as R&D knowledge mining, regulatory intelligence, and medical information services.
  • Build and optimize data ingestion, transformation, and semantic search pipelines using domain-specific embedding models (e.g., BioBERT, Ada-002).
  • Develop and containerize AI services using FastAPI, Docker, and Kubernetes, deployed on AWS or GCP, ensuring adherence to data privacy and compliance standards (e.g., HIPAA, GxP).
  • Collaborate with product, data, and platform engineering teams to integrate AI features into validated systems supporting clinical, quality, and manufacturing workflows.
  • Contribute to end-to-end MLOps: model experimentation, deployment pipelines, audit readiness, monitoring, and performance tuning.
  • Engineer full-stack applications (React + REST/GraphQL backends) with role-based access controls for internal and external scientific and business users.
  • Support internal research and POCs on advanced topics like LLM reasoning, adverse event detection, pharmacovigilance, and digital biomarker analysis.

  Qualifications

  Education:

  • Bachelors Degree (BA/BS) BS in Computer Science - Required
  • Master Degree (MS/MA) M.S. in Computer Science (Machine Learning track) or equivalent experience - Preferred

  Experience:

  • 2 years or more in Experience in Python, SQL, and ML libraries like PyTorch, TensorFlow, scikit-learn.
  • 2 years or more in Demonstrated experience with GenAI frameworks such as LangChain, Hugging Face, OpenAI APIs.
  • 2 years or more in Exposure to healthcare or life sciences data, regulated environments, or ontologies like UMLS or SNOMED
  • 2 years or more in Experience working in R&D or regulatory settings within the pharmaceutical or biotech industry
  • 2 years or more in Experience with semantic search, LaTeX OCR pipelines, or financial/news sentiment models

  Skills:

  • A "builder's mindset" with a strong passion for translating AI research into useful tools in support of patient impact. - Intermediate
  • Familiarity with MLOps workflows, DevOps tools (GitHub Actions, CI/CD), and cloud platforms (AWS, GCP) - Intermediate
  • Experience with semantic search, LaTeX OCR pipelines, or financial/news sentiment models - Beginner

  Specialized Knowledge:

  • Proficiency in Python, SQL, and ML libraries like PyTorch, TensorFlow, scikit-learn.
  • Demonstrated experience with GenAI frameworks such as LangChain, Hugging Face, OpenAI APIs
  • Experience developing cloud-native microservices using FastAPI, Flask, and deploying via Docker/K8s
  • Familiarity with MLOps workflows, DevOps tools (GitHub Actions, CI/CD), and cloud platforms (AWS, GCP)

• About the company

  Amneal Pharmaceuticals, Inc. is an American domiciled publicly traded generics and specialty pharmaceutical company.

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