Senior AI/ML Engineer — Generative AI & LLMs

Novacruitix; California; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Novacruitix in San Jose, CA is seeking an experienced AI/ML Engineer with 6+ years of hands-on experience in machine learning, data engineering, and production-grade model deployment. You will design and build AI/ML applications, and collaborate with cross-functional teams to deliver scalable solutions.

The role requires strong Python proficiency, experience with TensorFlow/PyTorch/Scikit-learn, NLP, Generative AI, LangChain, RAG pipelines, and cloud platforms (AWS/Azure/GCP). Hybrid work model.

Qualifications

• 6+ years of experience in AI/ML engineering.
• Experience deploying production ML models and building ML pipelines.
• Strong Python and data processing skills.

Responsibilities

• Design and develop AI/ML models and applications
• Build and optimize Generative AI and LLM-based solutions
• Develop RAG pipelines and AI agents
• Train, test, and deploy machine learning models
• Integrate AI models with enterprise applications and APIs
• Build scalable cloud-based AI/ML solutions
• Monitor model accuracy, performance, and reliability
• Collaborate with data scientists, engineers, and product teams
• Follow MLOps and CI/CD best practices

Skills

Python

Machine Learning

Deep Learning

Generative AI

NLP

RAG

Prompt Engineering

Agile / Scrum

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

LlamaIndex

Pinecone

FAISS

Chroma

FastAPI

REST APIs

SQL

NoSQL

AWS

Azure

GCP

Docker

Kubernetes

MLflow

Git

Jenkins

CI/CD

Pandas

NumPy

PySpark

Job description

Novacruitix in San Jose, CA is seeking an experienced AI/ML Engineer with 6+ years of hands-on experience in machine learning, data engineering, and production-grade model deployment. You will design and build AI/ML applications, and collaborate with cross-functional teams to deliver scalable solutions.

The role requires strong Python proficiency, experience with TensorFlow/PyTorch/Scikit-learn, NLP, Generative AI, LangChain, RAG pipelines, and cloud platforms (AWS/Azure/GCP). Hybrid work model.