Senior AI Engineer (f/m/d)

A Senior AI Engineer at Awin focuses on designing, developing, and deploying AI models specifically tailored for conversational applications. This role involves leveraging Large Language Models (LLMs) and collaborating closely with cross-functional teams to translate project requirements into effective AI-driven solutions. Your responsibilities will include API development, performance evaluation, and mentoring junior engineers, all while staying updated with the latest AI trends.

For the Senior AI Engineer role at Awin, candidates should have at least 7 years of software engineering experience, with 5 years specifically working with Python. Familiarity with LLMs, Retrieval-Augmented Generation (RAG), embedding models, and related technologies is critical. Excellent communication skills, a problem-solving mindset, and a collaborative spirit are also important attributes for success in this role.

A Senior AI Engineer at Awin will work on innovative projects focusing on developing conversational applications through advanced AI models and techniques. You will contribute to designing scalable solutions, improving system performance, and integrating AI functionalities through API development. Your work will be at the forefront of applying AI to enhance user experiences.

At Awin, the working conditions for a Senior AI Engineer are designed for flexibility and balance. You can enjoy a four-day Flexi-Week work schedule with full pay, support for setting up a remote workspace, and various paid special leaves. The work culture promotes hybrid models, allowing you to work both in the office and remotely, fostering an inclusive and dynamic environment.

Awin is committed to professional development for its Senior AI Engineers. We encourage continuous learning through exposure to the latest AI innovations and trends. Additionally, mentorship opportunities within the team and regular collaborative meetings allow for knowledge sharing and skill enhancement in a supportive environment.

To apply for the Senior AI Engineer position at Awin, visit our careers page. Prepare your CV and cover letter highlighting your relevant experience and skills in AI and Python. Your passion for AI, innovative thinking, and problem-solving abilities should come through in your application. We look forward to hearing from you!

Awin provides an attractive benefits package for the Senior AI Engineer role, including a flexible work schedule, remote working allowances, meal vouchers, health and wellness coverage, and a supportive work environment. You'll also receive a furniture package for your remote workspace after three months of employment, ensuring you have everything you need to thrive.

Certainly! In your response, share specific projects you've worked on that utilized LLMs, detailing the challenges you faced and how you overcame them. Emphasize your familiarity with libraries and tools associated with LLMs, such as the implementation of fine-tuning techniques and prompt engineering strategies.

Discuss your approach to API development by outlining the frameworks you’ve used, such as FastAPI or Django. Highlight your experience in creating secure, efficient APIs that allow seamless integration of AI functionalities within larger systems. Explain how you ensure scalability and maintainability in your API designs.

You should talk about the metrics and methodologies you use for evaluating AI model performance. This might involve discussing accuracy, efficiency, and user experience metrics. Mention specific techniques or tools you’ve utilized, such as testing methodologies for Large Language Models and Retrieval-Augmented Generation systems.

Provide a clear example of a challenging project you completed. Detail the problem, your analysis process, the solution you implemented, and the impact it had on the project or the team. Highlight technologies used and lessons learned during the process.

Explain your methods for keeping up with AI trends, such as following relevant research papers, participating in online forums, attending webinars, and connecting with industry professionals. Additionally, mention specific topics you are excited about and how they could influence your work as a Senior AI Engineer.

Discuss your philosophy on mentorship, emphasizing the importance of creating an inclusive environment where junior engineers feel comfortable asking questions. Provide examples of how you’ve helped junior team members grow, whether by providing direct feedback, facilitating skill-building workshops, or encouraging independent exploration.

Outline your understanding and experience of RAG techniques, illustrating how you've applied them in past projects. Discuss the advantages they bring to your AI applications, using specific examples of projects or scenarios where RAG improved performance.

Highlight the importance of clear communication in your answer, showcasing how you simplify complex concepts by using relatable analogies and avoiding jargon. Share an example where you've successfully explained AI concepts to non-technical team members to gain their understanding and input.

Emphasize the collaborative nature of AI projects by discussing experiences where teamwork was essential for success. Talk about how you engage with cross-functional teams and how this collaboration leads to innovative solutions and a positive impact on project outcomes.

In your response, mention current advancements in AI technology that excite you, such as improvements in natural language processing or future implications of generative models. Explain how you see these advancements influencing your work and the projects you would like to explore in the future.