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AI Engineer

***THIS ROLE IS NOT ELIGIBLE FOR THE BENEFITS LISTED BELOW THE JOB DESCRIPTION***

We are seeking a talented Senior Software Engineer with expertise in AI-powered chat assistant development, Java, and cloud computing technologies to join our innovative team. In this role, you will design and develop high-quality, scalable AI solutions using state-of-the-art platforms like GPT (OpenAI) and Amazon Bedrock. Working closely with developers, product managers, and stakeholders, you will deliver intelligent, high-performance conversational systems that meet our customers' needs and align with organizational goals. 

  

What You’ll Do 

  • Design and develop scalable and efficient AI-powered solutions using Java, GPT, Amazon Bedrock, and other cutting-edge technologies. 

  • Collaborate with developers, product managers, and stakeholders to understand business requirements and translate them into robust conversational AI solutions. 

  • Integrate AI Models into production systems, ensuring seamless interactions between chat assistants and backend services. 

  • Leverage Enterprise Messaging technologies to build reliable and scalable distributed systems for handling real-time communication. 

  • Optimize Performance of conversational AI systems for speed, accuracy, and reliability in a high-throughput environment. 

  • Mentor Team Members by providing technical guidance and fostering professional growth within the team. 

  • Participate in Code Reviews, Testing, and Debugging to maintain the highest standards of quality and functionality. 

  • Communicate Effectively with technical and non-technical stakeholders, ensuring project alignment and clarity. 

  • Adapt Quickly to evolving requirements and priorities in a fast-paced development environment. 

  • Report Progress to the Engineering Manager, addressing risks, challenges, and accomplishments. 

 

Qualifications  

What You Have – Required Skills: 

  • 5+ years of software development experience using Java/J2EE. 

  • Experience with AI technologies, particularly GPT (OpenAI), Amazon Bedrock, or similar LLM platforms. 

  • Hands-on experience with Spring Boot (1.x, 2.x) and Spring MVC frameworks. 

  • Experience working in cloud environments (Google Cloud preferred; AWS/Azure acceptable). 

  • Proficiency in messaging technologies like RabbitMQ, JMS, or similar platforms. 

  • Solid understanding of Docker, Kubernetes, and Linux-based deployments. 

  • Expertise in database technologies including MySQL and NoSQL solutions. 

  • Strong communication skills and a demonstrated ability to work collaboratively in a team setting. 

  • Experience mentoring junior developers and providing technical guidance. 

  • Excellent problem-solving and analytical skills, with a high attention to detail. 

  

Preferred Skills: 

  • Familiarity with AI/NLP concepts and tools used for training and optimizing conversational systems. 

  • Knowledge of DevOps practices, CI/CD pipelines, and container orchestration. 

  • Understanding of AI ethics, security, and performance considerations in production environments. 

 

BENEFITS

  • Fully covered Medical, Dental, and Vision coverage for employees

    • Cost share for dependents

  • 401(K) plan with company match

  • Flexible PTO policy

  • 9 paid holidays

Message Broadcast is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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What You Should Know About AI Engineer, Message Broadcast

Are you a passionate AI Engineer ready to make your mark? Join our dynamic team at Message Broadcast, where innovation meets collaboration! In this exciting role, you'll leverage your deep expertise in AI-powered chat assistant development and Java to design high-quality, scalable solutions that utilize cutting-edge platforms like GPT (OpenAI) and Amazon Bedrock. Your day-to-day will involve collaborating with an enthusiastic group of developers, product managers, and stakeholders to understand business needs and create robust conversational AI systems that truly resonate with our customers. You won't just be coding; you'll be weaving intelligent narratives into our tech, ensuring seamless interactions between chat assistants and backend systems. With a focus on performance optimization in a high-throughput environment, you'll be a key player in mentoring team members, cultivating their growth, and being a beacon of quality in code reviews and testing. If you're ready to work in a challenging and rewarding atmosphere where your ideas matter, and quick adaptation is encouraged, this is the perfect opportunity for you! With 5+ years of experience and a strong foundation in technologies like Spring Boot and cloud platforms, you'll thrive in our fast-paced development environment. Let’s create the future of conversational AI together.

Frequently Asked Questions (FAQs) for AI Engineer Role at Message Broadcast
What qualifications do I need for the AI Engineer position at Message Broadcast?

To qualify for the AI Engineer role at Message Broadcast, you should have at least 5 years of software development experience, specifically with Java/J2EE. Additionally, hands-on experience with AI technologies such as GPT (OpenAI) and Amazon Bedrock is essential. Familiarity with Spring Boot and cloud environments will also be valuable.

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What technologies does an AI Engineer at Message Broadcast work with?

As an AI Engineer at Message Broadcast, you will work with cutting-edge technologies including Java, GPT (OpenAI), Amazon Bedrock, and various messaging technologies such as RabbitMQ. You will also engage with cloud services, particularly Google Cloud and AWS, to build scalable AI solutions.

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What will be my primary responsibilities as an AI Engineer at Message Broadcast?

In your role as an AI Engineer at Message Broadcast, you will design and develop scalable AI-powered solutions, collaborate with a team to meet business requirements, and integrate AI models into production systems. You'll also optimize system performance and mentor junior developers, fostering a collaborative environment.

Join Rise to see the full answer
How does Message Broadcast support professional growth for AI Engineers?

Message Broadcast places a strong emphasis on professional growth. AI Engineers are encouraged to mentor junior team members and participate in code reviews, which fosters both knowledge sharing and technical excellence. Continuous learning is part of our culture, so you’ll have the opportunity to enhance your skills while contributing to exciting projects.

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What kind of company culture can I expect at Message Broadcast as an AI Engineer?

Message Broadcast boasts a collaborative and innovative company culture where every team member’s voice is heard. As an AI Engineer, you'll be part of an environment that prioritizes teamwork, creativity, and quick adaptation to changes, all while aiming for excellence in delivering AI-powered solutions.

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Are there benefits provided for AI Engineers at Message Broadcast?

Yes! AI Engineers at Message Broadcast enjoy fully covered Medical, Dental, and Vision insurance, alongside a competitive 401(K) plan with a company match. We also offer a flexible PTO policy and paid holidays to promote work-life balance.

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What is the typical career path for an AI Engineer at Message Broadcast?

An AI Engineer at Message Broadcast can expect a rewarding career path with opportunities to grow into senior roles, such as Lead AI Engineer or Engineering Manager. Continuous learning and mentorship are key components to advancing within our organization.

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Common Interview Questions for AI Engineer
Can you explain your experience with AI technologies such as GPT and Amazon Bedrock?

When answering this question, highlight specific projects where you utilized GPT or Amazon Bedrock. Discuss your role in the project, the challenges you faced, and the outcomes achieved. This shows your practical knowledge and problem-solving skills.

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How do you ensure the scalability of AI solutions?

Discuss strategies like designing microservices, optimizing code for performance, and using cloud technologies to handle variable loads. Provide examples from past experiences to demonstrate your understanding of scalability in AI systems.

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What role do you think mentoring plays in an engineering team?

Emphasize the importance of mentoring in fostering growth within a team. Illustrate with examples from your past where you guided junior developers, highlighting the positive impact it had on team dynamics and project outcomes.

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How do you stay updated with rapidly changing AI technologies?

Mention practices such as attending industry conferences, participating in webinars, or engaging with AI communities online. Providing examples shows your proactive approach towards learning and adaptability.

Join Rise to see the full answer
Describe a project where you integrated AI models into a production system.

Outline the project's goals, your specific contributions, and the technologies used. Detail any challenges you encountered during integration and how you overcame them to ensure a smooth deployment.

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What performance optimization techniques do you use for AI systems?

Discuss techniques such as model pruning, quantization, and caching strategies. Providing examples will demonstrate your practical expertise in enhancing AI system performance while maintaining functionality.

Join Rise to see the full answer
Can you share your experience with cloud environments in your AI projects?

Talk about specific cloud services you've utilized, such as AWS or Google Cloud, and how they enabled your AI solutions to scale and perform effectively. Describing your understanding of cloud deployment strategies will be particularly relevant.

Join Rise to see the full answer
What messaging technologies have you used in your previous roles?

Mention specific technologies like RabbitMQ and JMS and discuss how you've integrated them into systems to facilitate real-time communication. Providing context around your experience will demonstrate your technical depth.

Join Rise to see the full answer
How do you approach code reviews and ensuring code quality in your projects?

Highlight your approach to conducting thorough code reviews, keeping lines of communication open for feedback. Discuss the importance of continuous integration and testing in maintaining high code quality standards.

Join Rise to see the full answer
What strategies do you employ to quickly adapt to new requirements in a fast-paced environment?

Share specific strategies like agile methodologies or time management techniques that you've employed to quickly pivot and adapt. Illustrating with specific examples will reveal your agility in navigating changing project landscapes.

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Message Broadcast provides engagement solutions that shape customer experiences for the world’s top brands. As a leader in intent-driven conversation, Message Broadcast improves customer satisfaction and promotes operational efficiency through dec...

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Full-time, remote
DATE POSTED
November 26, 2024

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