Prudentia Sciences

Senior AI / ML Engineer

Prudentia Sciences

full-time

Posted on:

Location Type: Remote

Location: District of Columbia • Massachusetts • United States

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Job Level

Senior

Tech Stack

AirflowApacheAWSAzureCloudDockerETLGoogle Cloud PlatformKubernetesPythonSpark

About the role

  • Develop scalable, production-ready LLM applications using frameworks like LangChain/LangGraph
  • Build robust RAG pipelines and integrate knowledge graphs for biological and clinical data
  • Write maintainable, high-performance code and build clean APIs and services for machine learning applications
  • Work with data engineers to build and optimize data workflows and pipelines for high-quality data ingestion and processing
  • Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and scale models for production
  • Use modern MLOps tools to deploy and monitor models in production environments (AWS preferred)
  • Partner with engineering, data, and business teams to identify and develop high-value AI/ML applications
  • Stay ahead of the curve on emerging ML frameworks, GenAI capabilities, and healthcare technologies

Requirements

  • Bachelor's, Master’s, or Ph.D. in Computer Science, Data Science, Engineering, or a related field
  • Proven ability to build, train, and deploy ML and NLP models, especially those powered by LLMs and transformer architectures
  • Practical experience working with frameworks like LangChain for applications such as Q&A systems, chatbots, or document automation
  • Strong coding skills in Python and experience using Git/GitHub and CI/CD practices
  • Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like Snowflake or Databricks
  • Familiarity with Big Data tools (e.g., Apache Spark) and experience orchestrating data workflows using tools like Apache Airflow
  • Experience with deploying ML models in cloud environments (AWS, GCP, or Azure) and using containerization/orchestration tools like Docker and Kubernetes
  • Strong problem-solving skills and an analytical mindset
  • Passion for continuous learning, rapid prototyping, and iterating based on user needs
  • Autonomous, self-starter attitude with a strong sense of ownership
  • Excellent communication skills—able to explain technical ideas clearly to non-technical audiences
  • Collaborative team player with a desire to build things that truly matter
  • Bonus: Experience in healthcare, life sciences, or biopharma sectors (preferred but not required).
Benefits
  • Competitive salary, equity, and benefits
  • Flexibility and autonomy in a remote-first culture
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
LLM applicationsRAG pipelinesknowledge graphsmachine learningNLP modelsPythonETL pipelinesBig Data toolscloud environmentscontainerization
Soft Skills
problem-solvinganalytical mindsetcontinuous learningrapid prototypingownershipcommunication skillscollaborativeself-starter
Certifications
Bachelor's degreeMaster’s degreePh.D.