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Senior LLM Engineer

SmartAsset is an online destination for consumer-focused financial information, looking for an experienced Senior LLM Engineer to design and implement high-performance LLM solutions.

Skills

  • Cloud Platforms experience
  • Experience with Vector databases
  • Understanding of LLM concepts
  • Problem-solving skills
  • Excellent communication skills

Responsibilities

  • Design and implement a high-performance, scalable LLM service using Python and AWS technologies
  • Collaborate with business leaders to identify potential LLM use cases
  • Develop and maintain comprehensive documentation
  • Monitor LLM performance and make improvements

Education

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field

Benefits

  • Medical, Dental, Vision options
  • Life/AD&D Insurance
  • 401K
  • Equity packages
  • Pet Insurance
To read the complete job description, please click on the ‘Apply’ button
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CEO of SmartAsset
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Michael Carvin
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Average salary estimate

$172500 / YEARLY (est.)
min
max
$135000K
$210000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior LLM Engineer, SmartAsset

Are you ready to make a significant impact in the world of AI and machine learning? SmartAsset is looking for a passionate Senior LLM Engineer to join our remote team in the contiguous United States. In this exciting role, you’ll collaborate with data scientists and cross-functional leaders to develop the next generation of Large Language Model (LLM) capabilities that will drive our consumer-first financial information platform. You’ll be at the forefront of designing and implementing a high-performance, scalable LLM service using cutting-edge technologies like Python and AWS. Your efforts will directly contribute to serving our large user base of over 59 million each month. If you possess hands-on experience in cloud platforms and a solid understanding of LLM concepts, we would love to hear from you. Your responsibilities will include building RAG pipelines, integrating voice AI technologies, and developing custom solutions tailored to various business needs. At SmartAsset, we are committed to innovation, and your role will include staying updated with advancements in LLM technologies, ensuring data privacy, and providing technical support. Plus, you’ll get to mentor junior developers and participate in code reviews, sharing your knowledge with the team. Join us in shaping the future of financial literacy and making sure people make well-informed financial decisions. Don’t miss out on the opportunity to be part of a team that values your skills and encourages your growth!

Frequently Asked Questions (FAQs) for Senior LLM Engineer Role at SmartAsset
What are the responsibilities of a Senior LLM Engineer at SmartAsset?

As a Senior LLM Engineer at SmartAsset, you will design and implement high-performance LLM services using Python and AWS technologies. Your responsibilities will include building RAG pipelines, integrating voice AI solutions, collaborating with business leaders to identify LLM use cases, and fine-tuning models as necessary. Additionally, you'll ensure the scalability and performance of LLM services while adhering to data privacy and security compliance.

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What qualifications are needed for the Senior LLM Engineer position at SmartAsset?

To qualify for the Senior LLM Engineer role at SmartAsset, candidates should hold a Bachelor's or Master's degree in Computer Science, Data Science, or a related field. A minimum of 5 years of experience in Python is required, along with a proven track record using cloud platforms like AWS. Applicants should be familiar with LLM concepts, automation practices, and ideally have experience with voice AI technologies. Experience with DevOps toolsets and web frameworks is a plus!

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How does SmartAsset support career development for Senior LLM Engineers?

SmartAsset is deeply committed to the professional growth of its employees, including Senior LLM Engineers. Opportunities for career development include mentorship, participation in knowledge-sharing sessions, and access to industry-leading resources. We encourage engineers to stay up-to-date with the latest advancements in LLM technologies, ensuring they continue to thrive and innovate in their careers.

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Is remote work available for the Senior LLM Engineer role at SmartAsset?

Yes, the Senior LLM Engineer position at SmartAsset is fully remote, allowing you to work from anywhere in the contiguous United States. This flexibility promotes a healthy work-life balance and empowers you to work in an environment that best suits your productivity.

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What kind of projects will a Senior LLM Engineer at SmartAsset be working on?

As a Senior LLM Engineer at SmartAsset, you'll work on exciting projects that involve designing scalable LLM services, integrating voice-related AI technologies, and tailoring LLM solutions for different divisions. You'll leverage your expertise to monitor performance, implement enhancements, and ensure the reliability of the services you create, all while contributing to SmartAsset's mission of helping people make informed financial decisions.

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Common Interview Questions for Senior LLM Engineer
Can you explain your experience with Large Language Models and how it applies to this role?

In answering this question, highlight specific projects where you've designed or implemented LLM solutions. Discuss any challenges you've faced, such as fine-tuning models or integrating LLM services, and how you overcame them. Show your understanding of how LLMs can enhance user interactions and product offerings at SmartAsset.

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What cloud platforms have you worked with, and what are your best practices for deploying LLM applications?

Be specific about your experience with platforms like AWS, GCP, or Azure. Discuss best practices such as using infrastructure as code for deployment, ensuring high availability, and optimizing scaling to handle peak loads. Tailor your answer to how these practices will benefit SmartAsset’s LLM initiatives.

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How do you ensure data privacy and security when working with LLMs?

Address the protocols and practices you employ to protect sensitive data, such as adhering to compliance regulations and implementing risk assessment strategies. Mention any specific tools or frameworks you've used to enhance data security within LLM processes, and relate this back to SmartAsset's commitment to user privacy.

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Describe your experience with Python and any libraries you find essential for LLM development.

Provide a detailed account of your proficiency in Python, including frameworks like FastAPI or Django, as well as libraries such as Hugging Face Transformers or OpenAI's API. Illustrate how you’ve used these tools in past projects and their significance in the evolution of LLM services at SmartAsset.

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How do you stay updated on the latest advancements in AI and LLM technologies?

Discuss your strategies for continuous learning, such as following industry-leading blogs, attending conferences, joining professional networks, or participating in workshops. Emphasize your self-motivation to remain informed about new trends and how this benefits your role at SmartAsset.

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Can you provide an example of a time when you collaborated with a cross-functional team?

Share a detailed example where you collaborated with team members from different departments, such as marketing or product development. Highlight the project's objectives, your specific contributions, and the outcomes that benefitted the organization, showcasing your teamwork skills.

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What challenges have you faced while scaling LLM applications, and how did you overcome them?

Identify specific challenges, such as performance bottlenecks or user load issues, and the strategies you implemented to address them. This could include optimizing code, adjusting infrastructure, or employing caching mechanisms. Relate how these experiences will help in your role at SmartAsset.

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Why do you want to work at SmartAsset as a Senior LLM Engineer?

Reflect on SmartAsset’s mission and values and align them with your own career aspirations. Discuss your enthusiasm for financial literacy and how your skills can contribute to enhancing their AI technologies. Make it personal by expressing what excites you about the role and the company's innovations.

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How would you handle a situation where a project isn't progressing as planned?

Describe your problem-solving approach, emphasizing the importance of communication and team collaboration. Discuss techniques such as re-assessing project requirements, seeking feedback, and implementing agile methodologies to realign the project goals towards successful completion.

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What techniques do you use for prompt engineering in LLM applications?

Detail your understanding of prompt engineering, covering techniques for crafting effective prompts, testing various formulations, and adjusting output based on user feedback. Mention specific examples from your past roles that illustrate how prompt engineering enhanced LLM performance.

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SALARY RANGE
$135,000/yr - $210,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
February 12, 2025

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