Generative AI Engineer Google Cloud (Vertex AI)

  • Atlanta, GA
  • Posted 5 hours ago | Updated 2 hours ago

Overview

Remote
On Site
Hybrid
$80 - $100
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 36 Month(s)
Able to Provide Sponsorship

Skills

A/B Testing
API
Agile
Algorithms
Artificial Intelligence
Cloud Computing
Collaboration
Conflict Resolution
Continuous Delivery
Continuous Improvement
Continuous Integration
Docker
Evaluation
FOCUS
Good Clinical Practice
Google Cloud
Google Cloud Platform
JAX
Kubernetes
LangChain
Large Language Models (LLMs)
LlamaIndex
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Natural Language Processing
Open Source
Problem Solving
Prompt Engineering
PyTorch
Python
Scalability
Semantic Search
TensorFlow
Training
Transformer
Vector Databases
Vertex

Job Details

We are seeking a highly skilled LLM Engineer with expertise in Google Cloud Platform (Google Cloud Platform), Vertex AI, and algorithm development to design, implement, and optimize cutting-edge AI solutions. You will work on building, fine-tuning, and deploying Large Language Models (LLMs) for real-world business applications.

Key Responsibilities

  • Design, develop, and optimize algorithms for LLM training, inference, and deployment on Google Cloud Platform.

  • Implement Vertex AI pipelines for data preprocessing, model training, evaluation, and deployment.

  • Fine-tune LLMs (e.g., PaLM, Gemini, open-source models) to meet domain-specific requirements.

  • Integrate LLM solutions into enterprise applications ensuring scalability, security, and performance.

  • Collaborate with data scientists, cloud architects, and MLOps engineers to ensure seamless delivery.

  • Monitor and evaluate model performance using metrics, A/B testing, and continuous improvement methods.

  • Apply prompt engineering and retrieval-augmented generation (RAG) techniques for improved accuracy.

  • Optimize cost and performance for AI workloads on Google Cloud Platform.

Required Skills & Qualifications

  • 3+ years of experience in AI/ML engineering with a focus on LLMs.

  • Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or JAX.

  • Hands-on experience with Google Cloud Platform services, especially Vertex AI.

  • Proven track record in developing and optimizing algorithms for NLP and machine learning tasks.

  • Experience with vector databases, embeddings, and semantic search.

  • Familiarity with MLOps practices and CI/CD for ML models.

  • Solid understanding of data preprocessing, feature engineering, and model evaluation.

Preferred Qualifications

  • Experience with PaLM API, Gemini models, or other large-scale transformer-based architectures.

  • Knowledge of Kubernetes, Docker, and cloud-native development on Google Cloud Platform.

  • Experience with RAG, LangChain, or LlamaIndex frameworks.

  • Strong problem-solving skills and ability to work in agile teams.

Benefits

  • Competitive compensation package.

  • Opportunity to work with cutting-edge AI technologies.

  • Flexible working hours and remote work options.

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