Okay, I've searched for Mid-Level AI Engineer roles in St Louis, MO, that emphasize .NET and C# programming, with experience in large language models and retrieval-augmented generation, specifically for full-time positions. I found 82 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Mid-Level AI Engineer role at ITF Group is fundamentally focused on developing and integrating advanced AI technologies, specifically large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI within .NET applications. The responsibilities extend beyond mere coding; the engineer will craft autonomous AI agents that not only perform tasks but also perceive and reason, reflecting a deeper cognitive capability in decision-making processes. Success in this role means not only delivering high-quality AI models optimized for performance but also collaborating effectively with cross-functional teams to embed these technologies seamlessly into existing systems. This interplay between technical precision and collaborative innovation is essential, setting a high expectation for the candidate to balance technical prowess with strong interpersonal skills that facilitate effective communication across team boundaries. Additionally, there is an implied need for the candidate to be proactive in mentoring junior engineers, indicating that leadership and a commitment to team growth are critical components of success in this environment.

Company Analysis:

ITF Group occupies a prominent position within the logistics industry, characterized by its innovative approaches that redefine traditional models. As a growing entity recognized as a leader in truckload brokerage and a top workplace, ITF embodies a culture that prioritizes innovation, trust, and a focused dedication to customer service. This environment is likely collaborative and fast-paced, emphasizing agility and the ability to adapt to new technology-driven solutions. For the AI Engineer role specifically, this means the candidate should expect to thrive in a space where adaptability is celebrated, and ongoing learning is paramount. This position likely operates within a larger team of tech professionals where visibility with leadership is accessible, and contributions can significantly impact the organization’s trajectory. The strategic alignment of this hire underscores ITF's commitment to harnessing cutting-edge technology to enhance service deliveries, aiming for a future where logistics operations are even more efficient and reliable. The role fits the company’s larger goal of leveraging advanced AI to optimize logistics solutions, aligning the candidate's impact directly with ITF Group's mission.

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

• Tell me about a time when you had to explain complex technical AI concepts to non-technical stakeholders. How did you ensure they understood?
• Describe a project where you developed or integrated AI technology. What challenges did you face, and how did you overcome them?
• Can you share an experience where you mentored a junior engineer? What approach did you take to facilitate their learning?
• What strategies do you employ to optimize the performance and scalability of AI models, particularly in production environments?
• How would you approach integrating a new LLM into an existing .NET application? What steps would you prioritize?
• Discuss your experience with deploying AI models on cloud platforms like Azure or AWS. What factors do you consider essential for deployment?
• Imagine you are tasked with addressing a sudden performance drop in an AI model that you deployed. How would you investigate and resolve this issue?
• If you were to implement an autonomous AI agent for a specific logistics operation, what features would you prioritize to enhance its effectiveness?
• Why are you interested in working at ITF Group specifically, and how do you see your skills aligning with our mission?
• What do you believe are the most critical trends in AI that will affect the logistics industry over the next few years?
• How do you keep your knowledge of advancements in AI technologies current, particularly concerning LLMs and agentic AI?
• Can you share a specific instance where cross-functional collaboration led to the successful implementation of a technology solution?
• What questions do you have about ITF Group's approach to innovation in logistics and technology integration?
• How would you measure the success of the AI solutions you develop? What KPIs do you believe would be most important?
• If offered this role, what immediate contributions do you see yourself making within the first few months?