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Senior AI Engineer

 We are seeking a highly skilled AI Engineer to join our team. As an AI Engineer, you will be responsible for developing, fine-tuning, and deploying AI-driven solutions that leverage Large Language Models (LLMs) and other cutting-edge technologies. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to build scalable AI products that drive real-world impact.

Your primary focus will be on optimizing AI models for performance, scalability, and efficiency. You will utilize your expertise in Python and AI infrastructure to create efficient and effective AI applications. Additionally, you will ensure security, compliance, and ethical AI practices throughout the development process.

If you are a dedicated and motivated individual with a passion for AI and a desire to work in a collaborative and innovative environment, we would love to hear from you!

Responsibilities

●        Design, develop, and optimize applications leveraging LLMs (e.g., OpenAI, Llama, Gemini, etc.)

●        Utilize LangChain for AI application development and orchestration

●        Implement prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques

●        Optimize AI models for performance, scalability, and efficiency

●        Integrate AI models into backend systems and APIs

●        Ensure security, compliance, and ethical AI practices in development

●        Collaborate with data scientists, software engineers, and product managers to design AI-driven solutions

●        Stay up to date with advancements in AI/ML and propose new approaches and tools

●        Strong proficiency in Python and AI/ML libraries (PyTorch, Hugging Face, etc.)

●        Hands-on experience with LLMs and LangChain

●        Experience deploying AI models using FastAPI and Socket.IO integration

●        Understanding of vector databases (e.g., Pinecone, FAISS) for RAG applications

●        Experience with fine-tuning and adapting pre-trained models

●        Familiarity with containerization (Docker, Kubernetes)

Better to Have:

●        Knowledge about large-scale backend architecture and clean code principles

●        Experience with Elasticsearch

●        Experience with Text-to-Speech (TTS) models or Automatic Speech Recognition (ASR)

●        Good statistical understanding of LLM optimization techniques

●        Familiarity with streaming AI applications and real-time inference

●        Experience with multi-modal AI models (image+text, video+text, etc.)

●        Understanding of MLOps best practices for scalable AI deploymen

●        Competitive Salary

●        Training & Development

●        Private Health Insurance

●        Attractive Benefits Package (Family, Health, Entertainment)

●        Breakfast and Lunch

●        Hybrid Workplace

●        Flexible Working Hours

If you are passionate about AI, LLMs, and building scalable AI-driven products, we’d love to hear from you!

Average salary estimate

$115000 / YEARLY (est.)
min
max
$100000K
$130000K

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 AI Engineer, Wallex

As a Senior AI Engineer at our innovative company, you'll be at the forefront of artificial intelligence development, bringing your expertise to a team that's committed to pushing the boundaries of technology. In this role, you'll have the unique opportunity to design, develop, and deploy AI-driven solutions that utilize Large Language Models (LLMs). Collaborating with talented data scientists, software engineers, and product managers, you'll develop scalable, impactful AI products that are set to revolutionize the industry. Your responsibilities will include optimizing AI models for performance and efficiency while implementing cutting-edge techniques like prompt engineering and Retrieval-Augmented Generation (RAG). Plus, your hands-on experience with Python and AI infrastructure will ensure the effective integration of AI models into backend systems. We're not just looking for coding skills; we're searching for someone who values security, compliance, and ethical AI practices. If you’re enthusiastic about working in a collaborative, innovative environment and eager to impact with your AI expertise, we can't wait for you to join us!

Frequently Asked Questions (FAQs) for Senior AI Engineer Role at Wallex
What responsibilities does a Senior AI Engineer at our company have?

As a Senior AI Engineer at our company, you will be responsible for developing and optimizing AI applications leveraging Large Language Models (LLMs). Your role includes collaborating with cross-functional teams, implementing prompt engineering techniques, and integrating AI models into backend systems. Ensuring ethical AI practices and focusing on performance scalability while staying current with AI advancements is also crucial in this position.

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What qualifications are required for the Senior AI Engineer position?

To be considered for the Senior AI Engineer position, candidates should have strong proficiency in Python and familiarity with AI/ML libraries such as PyTorch and Hugging Face. Hands-on experience with LLMs, LangChain, and deploying models using frameworks like FastAPI is essential. Moreover, understanding containerization technologies and vector databases will greatly enhance your application.

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What technologies do Senior AI Engineers work with in our company?

In the Senior AI Engineer role at our company, you'll work with a variety of cutting-edge technologies, including Large Language Models (LLMs) from platforms like OpenAI and Llama. You'll also leverage LangChain for application orchestration and use containerization tools like Docker and Kubernetes. Your expertise in AI/ML libraries will support model optimization and integration into backend systems.

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Is there a focus on ethical AI practices for the Senior AI Engineer role?

Absolutely! At our company, we prioritize security, compliance, and ethical AI practices throughout the development process. As a Senior AI Engineer, you'll be responsible for ensuring that the AI solutions you develop adhere to these guidelines, promoting transparency and sustainability in AI technologies while delivering impactful solutions.

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What benefits are offered to Senior AI Engineers at our company?

Senior AI Engineers at our company enjoy a competitive salary alongside a comprehensive benefits package. This includes private health insurance, opportunities for training and development, flexible working hours, breakfast and lunch provisions, and the option of a hybrid workplace. We value the well-being of our team members and strive to create a supportive work environment.

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Common Interview Questions for Senior AI Engineer
Can you explain your experience with Large Language Models as a Senior AI Engineer?

In your response, highlight specific LLMs you've worked with, including how you designed, developed, or optimized applications utilizing these models. Detail your approach toward prompt engineering and any specific techniques or frameworks you have implemented to maximize model performance.

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How do you ensure compliance and ethical standards in AI development?

Discuss your understanding of ethical AI practices and how you've integrated them into your projects. Propose specific strategies such as bias detection methods, privacy considerations, and ensuring transparency within your AI systems to show your commitment to responsible AI development.

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What is your approach to optimizing AI models for performance and scalability?

Elaborate on the techniques and tools you use to enhance model performance. Discuss any experiences with fine-tuning models, the application of Retrieval-Augmented Generation (RAG) techniques, and your use of AI infrastructure to ensure scalable solutions.

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Describe your experience working in cross-functional teams.

Share examples of successful collaborations with data scientists, software engineers, or product managers. Highlight your communication skills, how you embrace feedback, and how you ensure project goals align across different roles within the team.

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Can you discuss a challenging AI project you worked on?

Talk about the project scope, the specific challenges faced, and how you overcame them. Focus on your problem-solving skills, adaptability, and any innovative approaches you applied to lead to successful project outcomes.

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What programming languages and technologies do you prefer for AI development?

Your answer should reflect strong proficiency in Python and familiarity with AI/ML libraries such as PyTorch and Hugging Face. Discuss how these technologies fit into your workflow and share examples of their application in real projects.

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How do you stay updated on advancements in AI and machine learning?

Mention specific resources such as research papers, online courses, webinars, or industry conferences you utilize to stay current with the latest developments. Emphasize your passion for continuous learning in the dynamic field of AI.

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What are your thoughts on the future of AI technologies?

Share your vision for the future of AI, touching on topics such as emerging trends, potential challenges, and the role of ethical considerations. Illustrate your excitement for the evolution of AI and how you see yourself contributing to that future.

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Explain the significance of MLOps in the deployment of AI models.

Discuss the role of MLOps in ensuring scalable AI deployments, focusing on best practices you have implemented. Highlight the importance of monitoring, versioning, and automating workflows, and describe any tools you have experience with in that context.

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How do you handle feedback and criticism in your projects?

Express the importance of feedback in improving your work. Give examples of how you've actively sought out feedback from peers and mentors, demonstrating your openness to constructive criticism and commitment to personal growth in the field of AI.

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Wallex Designs is the online store of design wallpapers and other exclusive materials, that help customers to make impressive changes in the interior. The company is located in Tallinn, Estonia and is... focused mainly on neighboring to Estonia ma...

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Full-time, hybrid
DATE POSTED
March 18, 2025

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