A
AI Engineer
Apolis
- 🇺🇸 United States
- On-site
- Mid level
- 10 hours ago
- $60 – $62 / hour
- AI
- AI/ML
- Machine Learning
- GCP
- Gemini
- Google Workspace
- Python
- RAG
- Vertex AI
- BigQuery
- Cloud Run
- GKE
- Cloud Functions
- Pub/Sub
- MLOps
- IAM
- TensorFlow
- PyTorch
- scikit-learn
- LangChain
- LangGraph
- Microservices
- Kubeflow
- MLflow
10 hours ago
AI Engineer
Location: Charlotte, NC – Hybrid
About the Role
We are seeking an experiencedAI Engineer to design, build, and scale AI/ML solutions with a focus onenterprise-grade Generative AI deployments. The ideal candidate will have hands-on experience delivering customer-facing AI solutions onGoogle Cloud Platform (GCP), including experience withGemini Enterprise.
Key Responsibilities
- Design, develop, and deployAI/ML solutions and Generative AI applications for enterprise customers.
- Architect and implement solutions leveragingGemini Enterprise, including Gemini for Google Workspace, AI agents, grounding, and search.
- Build and productionizeML pipelines, APIs, and services using Python.
- Design and implementRAG (Retrieval-Augmented Generation) architectures, agentic workflows, and LLM-based applications.
- Deploy, monitor, and optimize AI/ML models and services on GCP.
- Work withVertex AI, BigQuery, Cloud Run, GKE, Cloud Functions, and Pub/Sub.
- Collaborate directly with customers and stakeholders to gather requirements and translate business problems into scalable AI solutions.
- Ensure AI solutions meet enterprise standards forsecurity, scalability, performance, and cost efficiency.
- Partner with data engineering, MLOps, and platform teams to integrate AI capabilities into existing enterprise systems.
- Stay current with evolving GCP AI/ML technologies, includingVertex AI, Gemini models, Agent Builder, and Model Garden.
- Mentor junior engineers and contribute to AI/ML development standards and best practices.
Required Qualifications
- 7+ years of experience in software, AI, or ML engineering roles.
- Hands-oncustomer-facing experience with Gemini Enterprise or equivalent enterprise Generative AI platforms.
- Strong expertise inGoogle Cloud Platform (GCP), including:
- Vertex AI
- BigQuery
- Cloud Run / GKE
- IAM
- Basic networking
- AdvancedPython programming skills.
- Experience with ML/AI libraries and frameworks such as:
- TensorFlow
- PyTorch
- Scikit-learn
- LangChain
- LangGraph
- Strong understanding ofLLM fundamentals, including:
- Prompt Engineering
- Fine-tuning
- Embeddings
- Vector Databases
- RAG
- Experience deploying and scalingML models in production environments.
- Strong understanding ofAPI design, microservices, and cloud-native architecture.
- Excellent communication skills with the ability to work directly with enterprise customers and stakeholders.
Preferred Qualifications
- GCP Professional certifications such as:
- Professional Machine Learning Engineer
- Professional Cloud Architect
- Professional Data Engineer
- Experience withMLOps tools such as Vertex AI Pipelines, Kubeflow, and MLflow.
- Experience withAgentic AI frameworks and multi-agent orchestration.
- Background inSales Engineering, Solutions Architecture, or Pre-Sales Technical Consulting.
- Familiarity withAI data governance, security, compliance, and responsible AI practices.
Key Skills
AI/ML | Generative AI | GCP | Vertex AI | Gemini Enterprise | Gemini Models | Python | TensorFlow | PyTorch | Scikit-learn | LangChain | LangGraph | LLM | RAG | Prompt Engineering | Embeddings | Vector Databases | Agentic AI | Agent Builder | Model Garden | BigQuery | Cloud Run | GKE | Cloud Functions | Pub/Sub | API Design | Microservices | MLOps | MLflow | Kubeflow
Top 3 Must-Have Skills
- Gemini Enterprise / Enterprise Generative AI
- GCP / Vertex AI / Python
- RAG, LLMs & Agentic AI
AI Engineer · Apolis