Okay, I've searched for Artificial Intelligence Engineer contract roles in New York, NY, requiring strong Python skills and experience with agentic frameworks like Google ADK or Crew.ai, offering remote work options. I have found 57 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Artificial Intelligence Engineer role centers on developing and maintaining the backend infrastructure of AI-driven systems using Google ADK, with a strong emphasis on agentic frameworks like Crew.ai. Fundamentally, the person in this role is hired to ensure seamless integration and communication between AI-driven backend agents and web applications, optimize system performance, and support deployment on cloud platforms such as Google Cloud Platform and CloudRun. The focus on Python underscores the need for clean, efficient coding practices in a highly technical environment. Given that tools and tasks have already been defined, the candidate will be expected to quickly adapt, execute, and contribute to iterative improvements—pointing to a fast-paced contract work style requiring autonomy balanced with collaboration. Success in this role means delivering robust, scalable APIs and backend services that empower AI agents to operate smoothly and efficiently, while being proactive in monitoring system health and addressing performance bottlenecks. The challenges likely include working remotely on cutting-edge yet complex AI frameworks, navigating integration issues across distributed components, and maintaining system reliability throughout continuous deployments on cloud infrastructure.

Company Analysis:

Kelly Science, Engineering, Technology & Telecom operates as a specialized staffing and solutions partner in high-tech and scientific industries, leveraging deep domain expertise to connect highly skilled professionals with demanding roles. Unlike a direct product company, Kelly Services serves as a strategic enabler for innovation by placing experts where they can drive breakthrough advancements. The company culture is likely to be dynamic, expertise-driven, and collaboration-oriented, emphasizing both diversity and innovation as core values. For a contractor in this role, this means that while the engagement might be project-limited, the environment values professionalism, technical excellence, and the ability to integrate quickly within client teams. Kelly’s market position as a trusted, knowledgeable staffing provider also suggests a high level of accountability for quality and efficiency. The role will likely report or coordinate closely with client-side engineering teams and leadership, requiring strong communication skills and resilience in a remote setting. Strategically, this hire supports a client’s goal to accelerate the development and deployment of AI-powered agentic applications via cloud infrastructure, indicating a growth and innovation focus at the client level facilitated by Kelly’s talent network.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to develop a backend system for an AI-driven application. What challenges did you face and how did you overcome them?
• Behavioral: Describe a situation where you had to quickly learn and apply a new framework or tool like Google ADK or Crew.ai. How did you ensure your contribution was effective?
• Behavioral: Can you share an experience where you collaborated remotely with cross-functional teams to deploy systems on cloud platforms? How did you maintain communication and ensure alignment?
• Behavioral: Give an example of a time when you identified and resolved a system performance bottleneck in an AI application. What was your approach?
• Technical: How would you design and implement APIs to enable seamless communication between an AI backend and a web application? What best practices would you follow?
• Technical: What are the key considerations when deploying AI-driven services on Google Cloud Platform and CloudRun, and how do you monitor their performance?
• Technical: Explain your experience working with agentic AI frameworks such as Google ADK or Crew.ai. How do these frameworks shape your engineering approach?
• Technical: Describe your approach to writing efficient, maintainable Python code in a complex AI backend environment.
• Situational: Imagine the deployed AI agent’s backend is experiencing intermittent downtime and degraded performance. How would you diagnose and address the issue under a tight deadline?
• Situational: You receive a request to add a new feature to the existing AI backend system, but the current architecture has known limitations. How do you balance delivering on time with maintaining system integrity?
• Situational: If you notice a misalignment between the defined agentic tasks and the actual backend execution, how would you handle this discrepancy with your team?
• Company Fit/Motivation: What interests you most about working with Kelly Science, Engineering, Technology & Telecom and this AI Engineering role specifically?
• Company Fit/Motivation: How do you believe your technical skills and professional values align with Kelly’s commitment to diversity, innovation, and collaboration?
• Company Fit/Motivation: Given Kelly’s role as a staffing and solutions provider, how do you approach adapting quickly to different client cultures and technical stacks?
• Questions to Ask the Interviewer: How does this contract role fit within the client’s larger AI development roadmap and strategic goals?
• Questions to Ask the Interviewer: Can you describe the typical collaboration dynamic between Kelly contractors and client teams, especially in remote settings?
• Questions to Ask the Interviewer: What are the key performance indicators or success metrics for this role during the contract period?