AI/ML Tech Lead – Generative AI

Ethereum Technologies LLC; Rosemead (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

ETHEREUM TECHNOLOGIES LLC in Rosemead, CA is seeking an AI/ML Tech Lead with strong hands-on experience in Generative AI to design and deliver production-grade LLM-powered solutions on Google Cloud Platform.

You will collaborate with Data Science, Engineering, and Product teams to translate business needs into robust GenAI systems, implement RAG pipelines, and lead end-to-end MLOps while ensuring performance, security, and compliance.

Qualifications

• 5–8+ years of industry experience in ML.
• 3+ years building and deploying Generative AI / LLM-based solutions in production.
• Strong experience with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Dataflow, Cloud Run.
• Advanced proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with LLM frameworks/tools such as LangChain, LlamaIndex, or Hugging Face.
• Solid understanding of SQL and unstructured data processing.
• Experience with Docker, Kubernetes (GKE), and CI/CD pipelines.

Responsibilities

• Design, build, and deploy production-ready Generative AI applications and APIs on GCP.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and unstructured data sources.
• Develop and manage end-to-end MLOps pipelines (training, evaluation, deployment, monitoring) using Vertex AI, Kubeflow, Cloud Build, and Terraform.
• Optimize model performance through fine-tuning, prompt engineering, and model compression techniques (e.g., GPTQ, AWQ).
• Architect scalable and cost-efficient GCP infrastructure with a strong focus on security, IAM, and VPC design.
• Collaborate cross-functionally to define AI/ML technical roadmaps and deliver business-impacting solutions.
• Ensure data privacy, security, and ethical AI standards (HIPAA, GDPR, where applicable).
• Provide technical leadership, guidance, and mentorship to team members.

Skills

Machine Learning

Generative AI

GCP

Python

TensorFlow

PyTorch

scikit-learn

LangChain

LlamaIndex

Hugging Face

SQL

Docker

Kubernetes

CI/CD

Tools

Vertex AI

BigQuery

Dataflow

Cloud Run

LangChain

LlamaIndex

Hugging Face

Job description

We are seeking anAI/ML Tech Lead with strong hands-on experience in Generative AIto design and deliver production-grade LLM-powered solutions. This role focuses on building scalable GenAI systems onGoogle Cloud Platform (GCP), leveragingGemini models,RAG architectures, andagentic workflowsto solve complex business problems.

You’ll work closely with Data Science, Engineering, and Product teams to translate business needs into robust AI/ML solutions while ensuring performance, security, and compliance.

Key Responsibilities

Design, build, and deployproduction-ready Generative AI applications and APIson GCP.

ImplementRetrieval-Augmented Generation (RAG)pipelines using vector databases and unstructured data sources.

Develop and manageend-to-end MLOps pipelines(training, evaluation, deployment, monitoring) usingVertex AI, Kubeflow, Cloud Build, and Terraform.

Optimize model performance throughfine-tuning, prompt engineering, and model compression techniques(e.g., GPTQ, AWQ).

Architect scalable and cost-efficient GCP infrastructure with a strong focus onsecurity, IAM, and VPC design.

Collaborate cross-functionally to define AI/ML technical roadmaps and deliver business-impacting solutions.

Ensure adherence todata privacy, security, and ethical AI standards(HIPAA, GDPR, where applicable).

Provide technical leadership, guidance, and mentorship to team members.

Required Qualifications

5–8+ yearsof industry experience in Machine Learning.

3+ years of hands-on experiencebuilding and deployingGenerative AI / LLM-based solutionsin production.

Strong experience withGoogle Cloud Platform (GCP), includingVertex AI, BigQuery, Dataflow, Cloud Run.

Advanced proficiency inPythonand ML frameworks (TensorFlow, PyTorch, scikit-learn).

Hands-on experience withLLM frameworks/toolssuch asLangChain, LlamaIndex, or Hugging Face.

Solid understanding ofSQLand unstructured data processing.

Experience withDocker, Kubernetes (GKE), and CI/CD pipelines.

Preferred Qualifications

Experience withmulti-agent systems and orchestration(LangGraph, AutoGen, etc.).

Deep understanding ofvector databases(Vertex AI Vector Search, Pinecone, Chroma).

Proven ability tolead technical initiativesand mentor junior engineers.

ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract