About the Company

Our Client is a well-funded life sciences technology company building an AI-powered platform that transforms how pharmaceutical and biotech investors make portfolio decisions and conduct due diligence. The platform provides data-driven insights for optimizing capital allocation in drug development and accelerates breakthrough therapies from pipeline to patient impact.

The Role

Join as a hands-on AI/ML Engineer working on production LLM systems, knowledge graphs, and machine learning infrastructure. You'll build scalable AI solutions that enable critical decision-making in pharmaceutical R&D and investment.

This is a remote position with preference for candidates in the Northeast corridor.

Responsibilities

* LLM Application Development: Build production-grade systems using frameworks like LangChain/LangGraph, implementing RAG architectures and knowledge graph integration for biomedical data

* AI Infrastructure: Develop clean APIs and services for ML applications with focus on maintainability and performance

* Data Pipeline Collaboration: Partner with data teams to optimize ingestion workflows and ensure data quality

* Rapid Prototyping: Work cross-functionally to iterate on AI solutions, moving from prototype to production deployment

* MLOps & Production Systems: Deploy and monitor models using modern MLOps practices (AWS ecosystem), ensuring scalability and reliability

* Innovation & Strategy: Identify high-impact AI/ML opportunities across the product suite

* Technical Growth: Stay current with emerging GenAI capabilities and healthcare ML applications

Required Qualifications

Technical Foundation:

* Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related technical field

* Demonstrated experience building and deploying ML/NLP models, particularly with LLMs and transformer architectures

* Hands-on work with LangChain or similar frameworks for building AI applications (Q&A systems, document processing, etc.)

* Strong Python programming skills with version control (Git) and CI/CD experience

* Experience with ETL processes, SQL/NoSQL databases, and cloud data platforms (Snowflake, Databricks, etc.)

* Knowledge of distributed computing frameworks (Apache Spark) and workflow orchestration (Airflow)

* Cloud ML deployment experience (AWS preferred, GCP/Azure acceptable) plus containerization with Docker/Kubernetes

Professional Skills:

* Analytical problem-solver with strong technical foundations

* Self-directed with ability to own projects end-to-end

* Effective communicator who can translate technical concepts for diverse audiences

* Collaborative mindset with enthusiasm for building impactful products

* Comfort with ambiguity and rapid iteration

Nice to Have:

Background in healthcare, life sciences, or pharmaceutical technology

What's In It For You

* Direct impact on drug development timelines and patient outcomes

* Opportunity to build foundational AI systems at a fast-growing company

* Remote-first culture with autonomy and flexibility

* Competitive compensation package including equity

* Mission-driven team solving complex technical challenges in healthcare