ML Engineer: LLM & RAG Chatbot Architect

Agnos health; Michigan; On-site; USD 90,000 - 130,000; Full time

Job summary

Agnos health is seeking an experienced machine learning engineer to design and develop ML models and chatbot applications using LLMs and RAG techniques. You will build and maintain data pipelines for preprocessing, model training, and evaluation, and integrate chatbots with external data sources via APIs to improve accuracy and relevance.

The role requires strong Python skills, familiarity with NLP libraries, LangChain, and cloud deployment on AWS/GCP.

Qualifications

• Proficient Python programming with NLP libraries (Transformers, NLTK, SpaCy).
• Experience with LangChain for building and deploying LLM-based apps.
• Familiarity with ML frameworks (TensorFlow, PyTorch) and RAG techniques.
• Experience deploying NLP models on cloud platforms (AWS, Google Cloud).
• Strong problem-solving, independence, and cross-functional collaboration.

Responsibilities

• Design and develop machine learning models.
• Design and develop chatbot applications utilizing LLMs and RAG techniques.
• Develop and maintain pipelines for data preprocessing, model training, and evaluation.
• Integrate chatbots with external data sources and APIs to enhance response accuracy and relevance.
• Implement and test machine learning algorithms and systems.
• Train and retrain systems as necessary.
• Monitor and optimize chatbot performance, ensuring high accuracy and user satisfaction.
• Extend existing ML libraries and frameworks.

Skills

Python

Hugging Face Transformers

NLTK

SpaCy

LangChain

TensorFlow

PyTorch

AWS

Google Cloud

Communication

Job description

Agnos health is seeking an experienced machine learning engineer to design and develop ML models and chatbot applications using LLMs and RAG techniques. You will build and maintain data pipelines for preprocessing, model training, and evaluation, and integrate chatbots with external data sources via APIs to improve accuracy and relevance.

The role requires strong Python skills, familiarity with NLP libraries, LangChain, and cloud deployment on AWS/GCP.