Highlights
Hands-on engineering, solution-thinking mindset, scalable workflows, cloud-native delivery, real-world GenAI integration.
Description
Job Summary
pWe are seeking a highly skilled AI Engineer to design, implement, and deploy intelligent systems utilizing large language models (LLMs), agent orchestration frameworks, and embedding-based retrieval solutions. This role involves hands-on engineering with a focus on scalable workflows and cloud-native delivery.
Responsibilities
- Design, develop, and maintain intelligent systems using LLMs and agent orchestration frameworks.
- Implement embedding-based retrieval solutions to enhance system performance.
- Collaborate with cross-functional teams to deliver scalable and efficient workflows.
- Maintain and update existing systems while ensuring their integration into real-world GenAI applications.
Required Skills
- Proficiency in LLMs and agent orchestration frameworks
- Experience with embedding-based retrieval solutions
- Strong background in cloud-native development environments
- Adept at solving complex engineering challenges
- Ability to work independently and as part of a team
Required Skills Explained
- Expertise in designing and implementing intelligent systems powered by large language models (LLMs)
- Proficiency with agent orchestration frameworks
- Solid understanding of embedding-based retrieval solutions
- Experience in scalable workflows and cloud-native delivery
- Adept at integrating real-world GenAI applications
Who is this for
pThis role is ideal for engineers who thrive in an environment that requires both technical expertise and innovative thinking. Experience with large-scale systems and a passion for cutting-edge technology are key.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge technology at the intersection of AI and engineeringliFlexibility with work style due to independent nature of the roleliChances for innovation and creativity in developing new solutionsliStrong team support from an experienced AI Engineering Manager
Interview Preparation Tips
- Prepare examples showcasing your experience with LLMs, agent orchestration frameworks, and embedding-based retrieval systems
- Discuss past projects involving scalable workflows and cloud-native delivery
- Be ready to explain how you have integrated GenAI into real-world applications
- Research the company’s current AI initiatives to demonstrate your alignment with their goals
Career Growth in This Role
pThe role offers significant opportunities for professional development and advancement within the field of intelligent systems. With a focus on scalable workflows and cloud-native delivery, there are chances to take on more complex projects as you grow in experience. Additionally, contributing to real-world GenAI applications can lead to innovative breakthroughs that benefit both your career and the company.pSuccess in this role can also pave the way for leadership positions or opportunities to work with a broader range of technologies and systems within the AI engineering team.
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Skills
Frequently Asked Questions
What is the role's independence level?The role normally reports to an AI Engineering Manager but operates with high autonomy.
Is this position suitable for remote work?While some flexibility may be available, regular in-office collaboration and meetings are expected.
What education/experience is required?A degree with 2-4 years of experience is required.
