Biotech AI/ML Engineer: LLMs & MLOps

DRH Search; Massachusetts; Hybrid; USD 140,000 - 210,000; Full time

Job summary

DRH Search is partnering with a biotech startup to hire AI/ML Engineers who will design and deploy production-grade LLM systems, build scalable data pipelines, and collaborate across product and domain teams. The role emphasizes LangChain, MLOps, and cloud deployments in a hybrid Cambridge/San Francisco/New York setting.

Ideal candidates have hands-on ML/NLP experience, strong Python coding skills, and familiarity with Spark, Airflow, Snowflake, Databricks, and containerization via

Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
• Hands-on AI experience: build/train/deploy ML and NLP models, esp. LLMs and transformers.
• LLM & LangChain experience: LangChain for QA, chatbots, or document automation.
• Software engineering: strong Python coding skills; GitHub and CI/CD.
• Data engineering know-how: ETL pipelines; relational and non-relational databases; Snowflake/Databricks.
• Big data & ML frameworks: Spark; orchestrating workflows with Airflow.
• Cloud & MLOps: deploying models in AWS/GCP/Azure; Docker & Kubernetes.

Responsibilities

• Design and Deploy LLM systems with scalable, production-ready architectures.
• Full-stack AI engineering: APIs and services for ML apps.
• Data engineering collaboration: optimize data ingestion and processing pipelines.
• Product-focused prototyping: rapid AI solution iterations with product teams.
• Model deployment & MLOps: monitor and scale models in production (AWS preferred).
• Collaborative innovation across engineering, data, and business teams.

Skills

Hands-on AI

LLM LangChain

Python

Git CI/CD

ETL Pipelines

Snowflake Databricks

Apache Spark

Apache Airflow

AWS Cloud

Docker Kubernetes

Education

Bachelor's/Master's/PhD in CS/DS/Engineering

Tools

LangChain

Docker

Kubernetes

Airflow

Apache Spark

Snowflake

Databricks

GitHub

Job description

DRH Search is partnering with a biotech startup to hire AI/ML Engineers who will design and deploy production-grade LLM systems, build scalable data pipelines, and collaborate across product and domain teams. The role emphasizes LangChain, MLOps, and cloud deployments in a hybrid Cambridge/San Francisco/New York setting.

Ideal candidates have hands-on ML/NLP experience, strong Python coding skills, and familiarity with Spark, Airflow, Snowflake, Databricks, and containerization via