Senior AI / ML Engineer

Job not on LinkedIn

🕒 February 25

🏛️ District of Columbia, New York, +1 more states – Remote

🏛️ District of Columbia – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Prudentia Sciences

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

💰 $7M Series unknown on 2025-02

Artificial Intelligence • Biotechnology • SaaS

Prudentia Sciences is an AI-native SaaS platform that accelerates life-sciences dealmaking by automating and augmenting scientific due diligence, asset valuation, and scenario planning for pharma, biotech, and investors. It synthesizes datarooms with public and proprietary data, provides explainable AI insights and expert-in-the-loop reviews to support portfolio strategy, valuation, and deal execution, with enterprise-grade security and scalability.

📋 Description

• 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