AI engineering talent network
Curate Partners connects organizations with AI engineers who design, build, and deploy intelligent systems that transform how businesses operate. Our network includes professionals skilled in large language models, generative AI, and cloud-native ML infrastructure who deliver scalable, secure, and high-impact solutions.
Why employers choose Curate Partners for AI engineering talent
- Vetted AI engineers experienced with GCP Vertex AI, AWS SageMaker, Azure AI Services, and multi-cloud ML ops.
- Flexible engagement models for full-time, contract, or project-based delivery.
- Fast access to a curated network ready to design, automate, and scale enterprise AI solutions.
- Strategic alignment with your data, digital, and automation goals.
Key AI engineering capabilities
| Core focus area | What our experts deliver |
|---|---|
| Generative AI and LLM development | Custom LLM applications using OpenAI, Claude, Gemini, and LangChain for summarization, retrieval-augmented generation, and chat automation. |
| AI application architecture | End-to-end design and deployment of scalable AI microservices with APIs, Docker, and Kubernetes on cloud platforms. |
| Data engineering for ML pipelines | ETL and streaming pipelines built with Dataflow, Kafka, Pub/Sub, and Databricks to support AI training and real-time inference. |
| Model training and deployment | Production-grade ML pipelines, CI/CD automation, and model versioning using Git, Jenkins, and Cloud Build. |
| Prompt engineering and evaluation | Design and tuning of prompts and guardrails to improve accuracy, context retention, and brand alignment in LLM outputs. |
| AI integration and automation | APIs and workflows that connect AI services to business applications, improving efficiency and decision making. |
| AI governance and monitoring | Bias testing, model observability, and cost optimization for responsible AI adoption at scale. |
Sample AI engineering professionals in our network
Candidate A — senior AI engineer and data platform architect
Candidate A builds AI-powered applications that merge data engineering with Generative AI. They have delivered production-grade pipelines on GCP using Dataflow, Pub/Sub, and BigQuery while integrating LangChain and GPT models to create real-time analytics assistants and product recommendation systems. Their expertise spans Vertex AI, Python, Terraform, and Docker, enabling end-to-end AI automation and model deployment.
Candidate B — AI and generative intelligence engineer
Candidate B designs LLM and GenAI solutions that improve customer experience and business efficiency. They have built retrieval-augmented generation (RAG) systems and agentic workflows with LangChain, deployed LLMs on Vertex AI and SageMaker, and created secure microservices to serve models as APIs. Their projects have driven up to 25% improvement in service speed and accuracy for enterprise clients.
Candidate C — AI software engineer and LLM developer
Candidate C is a software engineer with deep experience integrating Vertex AI and Gemini models into real-time applications. They have developed agentic flows and retrieval systems for chemical data extraction, optimized ETL pipelines on Dataproc and BigQuery, and automated model deployments via CI/CD. Their blend of data engineering and AI innovation enables fast, reliable, and governed AI delivery in production.
Partner with Curate Partners to source AI engineering talent
We curate AI engineers who combine technical depth and creative innovation to build intelligent systems that accelerate transformation and deliver measurable value.