I found several Junior Knowledge Graph Engineer roles focused on AI in the United States, specifically for remote positions. They require 1 to 3 years of experience and emphasize strong skills in RDF and Neo4j. You have 42 positions available to review.

Sure. Here's the analysis:

Job Analysis:

The Agentic AI Engineer position at Avesta is fundamentally designed to enable the architecture, development, and deployment of sophisticated Knowledge Graphs and AI reasoning systems within a cutting-edge environment. Success in this role hinges on the candidate's ability to collaborate effectively across various domains—engaging with data scientists, ML engineers, and software developers to create systems that can process and leverage both structured and unstructured data. Critical responsibilities include designing scalable Knowledge Graphs, implementing semantic enrichment pipelines, and integrating AI models with these Graphs for enhanced reasoning and learning capabilities. The role requires a balance of technical acumen in semantic technologies, particularly RDF, OWL, and graph databases like Neo4j, coupled with a grasp of AI reasoning systems and their practical applications within business contexts. Candidates will likely face challenges related to integrating diverse technologies and navigating the ambiguities of a startup environment where rapid iteration and adaptability are essential. A successful candidate will illustrate proficiency not just in programming, but in leading discussions around best practices and mentoring peers, ultimately showcasing the ability to materialize complex ideas into actionable solutions. Performance metrics may revolve around the speed and efficiency of developed systems, team collaboration dynamics, and contributions to documentation and intellectual property such as technical papers or architectural blueprints.

Company Analysis:

Avesta operates within the fast-evolving Technology and SaaS landscape, specializing in curating talent for product development in the realms of AI and software. Their positioning as a startup in stealth mode indicates a focus on innovation, suggesting that employees will need to thrive in an environment characterized by agility and a rapid pace of change. The emphasis on developing bespoke technology teams and solutions hints at a tailored approach to client needs, potentially fostering a collaborative culture centered on creativity and problem-solving. A culture of collaboration is expected, with a heavy reliance on cross-functional efforts to achieve shared goals, which is crucial for this role. The Agentic AI Engineer role indicates a level of influence within the organization, as it intertwines with foundational technological developments. This is not merely a support role; it is integral to shaping the company's offerings and strategic direction. Employees might find themselves at the forefront of innovative AI applications, thereby necessitating a strategic alignment with both immediate project goals and broader operational visions, contributing directly to the company’s trajectory of growth and influence in the tech sector.

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

• Tell me about a time when you led a project that involved integrating multiple technologies. What challenges did you face and how did you overcome them?
• Can you describe your experience with RDF and OWL? How have you applied them in past projects?
• Discuss a situation where you had to mentor a team member on best practices. What approach did you take?
• Share an experience where you had to solve a complex problem using AI or machine learning techniques. What was your thought process?
• How would you approach designing a Knowledge Graph for a new application? What key factors would you consider?
• Explain how you would implement a semantic enrichment pipeline using NLP. What tools and techniques would you employ?
• Imagine you are working on a new project where the requirements are not fully defined. How would you navigate this ambiguity?
• Suppose you are tasked with evaluating different reasoning engines for integration into your project. What criteria would you use to make your decision?
• Why are you interested in working at Avesta specifically, and what excites you about the work being done in AI and Knowledge Graphs?
• How do your values align with Avesta’s mission of building bespoke technology teams?
• What are your long-term career goals, and how do you see this role contributing to those goals?
• What questions do you have for us about the team culture or the projects you might be working on?
• How do you stay updated with the latest trends in AI and semantic technologies?
• What do you consider the most critical skill for an Agentic AI Engineer in a startup environment?