AI/ML Engineer: Build & Deploy Scalable LLM Systems

Viven; Santa Clara (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Viven is seeking an AI/ML Engineer to design, train, and deploy scalable ML models powering its AI-powered Digital Twins platform. You will work on LLM-based systems, from fine-tuning to agents and evaluation pipelines, collaborating with engineering and product teams to deliver production-ready capabilities at scale.

Ideal candidates thrive in a startup setting, balancing research prototyping with production-grade engineering, and are motivated by shipping tangible AI-powered features that

Qualifications

• 1+ years of experience in ML/DS with production ML systems.
• Strong knowledge of ML/DL libraries: Scikit Learn, Keras, TensorFlow, PyTorch, Theano, or DyLib.
• Deep expertise in at least one area: search/ranking, generative AI product development, LLM agent products, LLM fine tuning, or LLM limitations.
• Experience working at an early-stage startup or 0-1 product launches.
• Comfort with both research prototyping and production-grade engineering.

Responsibilities

• Design, train, and deploy machine learning models for production use at scale.
• Work on LLM-based systems—from fine tuning to building agents and eval pipelines.
• Collaborate with engineers and product teams to scope problems, define success metrics, and build robust evaluation frameworks.
• Mitigate LLM challenges: address biases, hallucinations, and knowledge cutoff limitations to improve trust and performance.
• Optimize models for latency, accuracy, and scalability in real-world applications.
• Contribute to end-to-end product development - from research to deployment to iteration.

Skills

Search/Retrieval/Ranking or RecSys

Generative AI product development

LLM agent products

LLM fine tuning

Practical understanding of LLM limits

Tools

Scikit Learn

Keras

TensorFlow

PyTorch

Theano

DyLib

Job description

Viven is seeking an AI/ML Engineer to design, train, and deploy scalable ML models powering its AI-powered Digital Twins platform. You will work on LLM-based systems, from fine-tuning to agents and evaluation pipelines, collaborating with engineering and product teams to deliver production-ready capabilities at scale.

Ideal candidates thrive in a startup setting, balancing research prototyping with production-grade engineering, and are motivated by shipping tangible AI-powered features that