AI/ML Tech Lead – Generative AI

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

Job summary

ROBOTIC PROCESS AUTOMATION LLC seeks an AI/ML Tech Lead to design and deliver production-grade GenAI solutions on Google Cloud Platform. You will leverage Gemini models, RAG architectures, and agentic workflows to solve complex business problems.

You’ll guide Data Science, Engineering, and Product teams to translate business needs into scalable AI systems while ensuring performance, security, and compliance.

Qualifications

• 5–8+ years in Machine Learning
• 3+ years building Generative AI/LLM solutions in production
• Strong GCP experience: Vertex AI, BigQuery, Dataflow, Cloud Run
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Hands-on with LLM tools such as LangChain, LlamaIndex, or Hugging Face
• Solid SQL and unstructured data processing skills
• Experience with Docker, Kubernetes (GKE) and CI/CD pipelines

Responsibilities

• Design, build, and deploy production-ready GenAI applications and APIs on GCP
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases
• Develop end-to-end MLOps pipelines (training, evaluation, deployment, monitoring) using Vertex AI, Kubeflow, Cloud Build, Terraform
• Optimize model performance via fine-tuning, prompt engineering, and model compression techniques
• Architect secure, cost-efficient GCP infrastructure with IAM and VPC design
• Collaborate to define AI/ML roadmaps and deliver business-impacting solutions
• Ensure adherence to data privacy, security, and ethical AI standards
• Provide technical leadership and mentorship to team members

Skills

Generative AI

LLM deployment

GCP

Python

TensorFlow

PyTorch

LangChain

Hugging Face

Docker

Kubernetes

CI/CD

Security

Tools

Vertex AI

BigQuery

Dataflow

Cloud Run

Kubeflow

Terraform

LangGraph

AutoGen

Pinecone

Chroma

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/tools such 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.

ROBOTIC PROCESS AUTOMATION 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. ROBOTIC PROCESS AUTOMATION 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 ROBOTIC PROCESS AUTOMATION 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