LLM Engineer Google Cloud Platform & Vertex AI

  • Alpharetta, GA
  • Posted 10 days ago | Updated 1 day ago

Overview

Remote
On Site
Hybrid
$60 - $100
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 36 Month(s)
Able to Provide Sponsorship

Skills

API
Artificial Intelligence
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Data Governance
DevOps
Docker
Evaluation
Flask
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud
Google Cloud Platform
Kubernetes
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Natural Language Processing
Optimization
Prompt Engineering
Python
Semantic Search
Terraform
Use Cases
Vector Databases
Vertex

Job Details

We are looking for a Large Language Model (LLM) Engineer with strong expertise in Google Cloud Platform (Google Cloud Platform), Vertex AI, and Generative AI frameworks. This role involves building, fine-tuning, and deploying LLM-based solutions for real-world enterprise use cases, leveraging the latest in Generative AI and MLOps practices.

  • Design and implement LLM-powered applications using Vertex AI, PaLM, and Generative AI Studio.

  • Fine-tune foundation models for NLP, chatbots, summarization, semantic search, and RAG (Retrieval-Augmented Generation).

  • Build scalable end-to-end ML pipelines with Vertex AI Pipelines / Kubeflow.

  • Deploy and monitor LLM APIs & custom models on Google Cloud Platform (Cloud Run, GKE, Cloud Functions).

  • Integrate enterprise data sources with LLMs using BigQuery, Vector Databases, and Embedding Models.

  • Implement evaluation metrics, prompt engineering, and responsible AI practices.

  • Work with DevOps teams to ensure CI/CD, observability, and cost optimization for AI workloads.

Required Skills & Experience

  • Hands-on expertise in Google Cloud Platform AI stack: Vertex AI, BigQuery ML, Generative AI Studio, PaLM API.

  • Strong background in LLM frameworks: LangChain, Hugging Face, OpenAI API, Transformers.

  • Proficiency in Python, REST APIs, FastAPI/Flask for building AI services.

  • Knowledge of Vector Databases (Pinecone, Weaviate, FAISS, Chroma).

  • Experience in ML pipelines, MLOps, and model monitoring on Google Cloud Platform.

  • Solid understanding of NLP techniques, embeddings, and fine-tuning strategies.

  • Familiarity with Kubernetes, Docker, Terraform, GitOps.

Preferred Qualifications

  • Google Cloud Platform Certifications: Professional Machine Learning Engineer / Data Engineer.

  • Experience with multi-modal LLMs (text, image, speech).

  • Exposure to Responsible AI & data governance practices.

  • Prior work in productionizing Generative AI applications at scale.

Why Join Us?

  • Work on cutting-edge LLM & Generative AI projects.

  • Collaborate with AI/ML experts solving enterprise challenges.

  • Opportunity to grow into AI Solutions Architect / GenAI Lead.

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