At a Glance
- Tasks: Lead AI integration, design innovative tools, and architect data structures for scaling.
- Company: Join a cutting-edge tech firm focused on AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 8+ years in software engineering with strong AI/ML experience required.
Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing Service Experience and Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 8+ years of software engineering experience. 3+ years of hands-on AI/ML engineering experience. Advanced Python programming skills. Strong experience building production-grade AI applications. Experience with Generative AI and Large Language Models. Experience designing Retrieval-Augmented Generation (RAG) architectures. Knowledge of vector databases and embedding models. Experience deploying AI solutions on AWS cloud platforms. Experience with CI/CD pipelines and DevOps practices. Strong understanding of distributed systems and scalable backend architectures. Excellent communication and stakeholder management skills. Preferred Qualifications Experience with Agentic AI frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel). Experience with AWS Bedrock, Amazon SageMaker, Azure OpenAI, or Vertex AI. Experience implementing Responsible AI frameworks. Financial services, fintech, or investment management domain experience. Experience building recommendation engines, intelligent assistants, or AI copilots. Knowledge of Kubernetes, Docker, and cloud-native microservices. AWS AI/ML certifications or equivalent.
Job Responsibilities
We are looking for a visionary AI Engineer to lead the integration of advanced artificial intelligence into our flagship products. You will be at the forefront of innovation, designing proprietary AI tools, executing high-impact Proof of Concepts (POCs), and architecting the data structures necessary for robust AI/ML scaling.
AI Engineer, Malvern, PA, US employer: Intellibee
As a Python/DevOps Engineer at our Durham, NC location, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a commitment to employee growth, ensuring you can advance your skills while contributing to meaningful projects that enhance the developer experience across multiple teams. Join us to be part of a forward-thinking environment where your expertise in automation and cloud infrastructure will make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer, Malvern, PA, US
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Intellibee or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Intellibee.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Intellibee.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Intellibee that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer, Malvern, PA, US
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Intellibee.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Intellibee and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Intellibee
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Intellibee uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
