The convergence of data engineering and AI is reshaping how companies extract value from massive datasets, making expertise in LLMs and cloud platforms more valuable than ever. A contract role in New York offers you the chance to dive deep into cutting‑edge AI integrations while leveraging Google Cloud. This opportunity is perfect for engineers who want to showcase their skills on high‑impact projects.

Job Summary

We are looking for a Data + AI Engineer to design, implement, and maintain AI‑driven solutions using large language models (LLM) such as Dialogflow/Google CES, integrate them via APIs, and run the workloads on Google Cloud Platform. The role requires strong Python development, cloud infrastructure knowledge, and the ability to engineer prompts and CI/CD pipelines for rapid delivery.

Top 3 Critical Skills Table

Interview Preparation

1. Explain how you would integrate a Dialogflow agent with a backend service on GCP.
   What the interviewer is looking for: Understanding of GCP services (Cloud Functions, Pub/Sub), API design, authentication, and real‑time request handling.
2. Describe the steps to fine‑tune a large language model for a specific domain.
   What the interviewer is looking for: Knowledge of prompt engineering, dataset preparation, training pipelines, and evaluation metrics.
3. How do you set up a CI/CD pipeline for Python‑based AI services?
   What the interviewer is looking for: Familiarity with tools like Cloud Build, GitHub Actions, Docker, testing frameworks, and automated deployment.
4. What strategies do you use to manage versioning and rollback of AI models in production?
   What the interviewer is looking for: Experience with model registry, A/B testing, canary releases, and GCP AI Platform versioning.
5. Walk through a recent API integration project you led. What challenges did you face and how did you overcome them?
   What the interviewer is looking for: Practical API design, error handling, security (OAuth, API keys), and troubleshooting skills.

Resume Optimization

• AI integrations
• Large Language Models (LLM)
• Dialogflow
• Google CES
• Google Cloud Platform (GCP)
• Python
• API integration
• Prompt engineering
• CI/CD
• Git

Application Strategy

When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attaches your updated resume, and clearly maps your top skills to the role. Mention your experience with AI integrations, GCP, and Python, and reference any relevant projects where you built or deployed LLM‑based solutions. Highlight how your prompt‑engineering and CI/CD expertise will help deliver the contract’s objectives quickly.

Career Roadmap