AI/ML Tech lead with Gen AI

Quantum Technologies. LLC

Rosemead (CA)

Hybrid

USD 180,000 - 240,000

Full time

14 hours ago
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Job summary

Quantum Technologies LLC is seeking a senior ML/AI Engineer to design and deploy scalable Generative AI solutions on GCP, focusing on RAG architectures and vector databases. You will build production-grade applications and APIs, and collaborate with cross-functional teams to translate business needs into robust AI roadmaps.

The role requires 5–8+ years in ML, deep experience with LLMs, Vertex AI, LangChain, and containerized CI/CD workflows.

Qualifications

  • 5–8+ years in ML with production Generative AI and LLMs.
  • Proven experience on GCP and Vertex AI platform.
  • Strong Python skills and ML libraries (scikit-learn, PyTorch, TensorFlow).
  • Hands-on with LangChain, LlamaIndex, or Hugging Face tools.
  • Strong SQL and unstructured data management.
  • Containerization and CI/CD with Docker/Kubernetes.

Responsibilities

  • Design, build, and maintain production-grade Generative AI apps and APIs on GCP.
  • Develop MLOps pipelines for training, evaluation, monitoring, and deployment.
  • Improve model performance via fine-tuning, quantization, and prompt engineering.
  • Optimize GCP resources for scalability, cost-efficiency, and security.
  • Collaborate with Data Science, Data Engineering, and Product teams to translate needs into AI roadmaps.
  • Ensure data privacy, security regulations, and ethical AI standards.

Skills

Generative AI
LLMs
Python
SQL
CI/CD
GCP
LangChain
Hugging Face
Kubernetes
Docker
Vertex AI

Tools

LangChain
LlamaIndex
Hugging Face
Vertex AI
BigQuery
Dataflow
Cloud Run
Terraform
Docker
Kubernetes

Job description

Designing and deploying scalable, secure, and reliable LLM-based solution, implement Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic workflows to solve complex business problems.

Key Responsibilities
  • Design, build, and maintain production-grade Generative AI applications and APIs on GCP, focusing on Gemini models, RAG architectures, and vector databases.
  • Develop automated MLOps pipelines (training, evaluation, monitoring, deployment) using Vertex AI, Kubeflow, Cloud Build, and Terraform.
  • Implement techniques to enhance AI model performance, including fine-tuning, quantization (e.g., GPTQ, AWQ), and prompt engineering to improve accuracy and reduce latency.
  • Optimize GCP resources for high-performance computing, ensuring scalability, cost-efficiency, and security (IAM, VPC).
  • Partner with Data Science, Data Engineering, and Product teams to translate business requirements into technical AI/ML roadmaps.
  • Ensure compliance with data privacy, security regulations (HIPAA, GDPR, if applicable), and ethical AI standards.
Required Qualifications
  • 5-8+ years of industry experience in Machine Learning, with at least 3+ years of hands‑on experience in building and deploying Generative AI models and LLMs in a production environment.
  • Proven experience withGoogle Cloud Platform (GCP)and its AI suite (Vertex AI, BigQuery, Dataflow, Cloud Run).
  • Strong expertise inPythonand standard data science libraries (scikit-learn, TensorFlow, PyTorch).
  • Hands‑on experience with framework tooling such asLangChain, LlamaIndex, or Hugging Face.
  • Strong understanding of SQL and unstructured data management.
  • Familiarity with Docker, Kubernetes (GKE), and CI/CD tools.
Preferred Qualifications
  • Experience with multi-agent systems and orchestration (e.g., LangGraph, AutoGen).
  • Deep knowledge of Vector Databases (e.g., Vertex AI Vector Search, Pinecone, Chroma).
  • Demonstrated experience leading team projects and mentoring junior engineers.

QUANTUM 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. QUANTUM 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 QUANTUM 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

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