Kariyer Deneyim Sürüşü Stajyeri - Yapay Zeka

Eczacıbaşı Bilişim; Turkey; Hybrid; TRY 45,000 - 71,000; Full time

Benefits offered by this job

Nursery support

Paternity leave

Hybrid work model

Equal opportunity participation

Job summary

Eczacıbaşı Bilişim is seeking a motivated student to join our AI/LLM team in Turkey. You will help build services that connect model calls to the application layer, design prompts, and optimize output quality.

You will work with Python, REST APIs, and basic software practices while contributing to prototype development and evaluations. You will collaborate across teams, learn about data preparation, embeddings, and vector search, and gain hands-on experience with testing model outputs and

Qualifications

• Currently studying Computer Engineering, Software Engineering, Artificial Intelligence Engineering, Data Science, or a related field.
• Familiar with Python, Git, debugging, and writing readable code.
• Familiar with REST APIs, JSON, and client-server concepts.
• Interested in LLM-based applications and have tried working with a model API, at least in personal projects.

Responsibilities

• Contribute to development of LLM-based applications with teammates.
• Participate in prompt design, optimization, and evaluating impact on output quality.
• Assist in data preparation, chunking, embedding, and vector search for document-based scenarios.
• Test model outputs, identify inaccuracies, and report findings.
• Support evaluation set preparation and development of test scenarios.
• Prototype small-scale ideas to test quickly and document results.

Skills

Python

Git

Debugging

Code readability

English proficiency

Education

Bachelor’s student in Computer Engineering or related field

Tools

REST APIs

JSON

Client-server architecture

Job description

Eczacıbaşı Bilişim, whose steps were taken in 1989, has continued its activities by including organizations outside the Group since 2002; It is on its way to becoming the most reliable technology provider with its customer and quality-oriented service approach and effective solutions in the field of information technologies. It continues its activities by using its corporate knowledge with infrastructure technology and solution development services and constantly updating the latest technologies and application areas.

What Do We Expect from Our New Team Member?

• If you can contribute to the development of LLM-based applications developed by our team together with your teammates,
• If you can take part in developing services that connect model calls to the application layer and API integrations,
• If you can work on prompt design and optimization, and compare the impact of different approaches on output quality,
• If you can take part in data preparation, chunking, embedding, and vector search processes in document-based scenarios,
• If you can test model-generated outputs, identify inaccurate or inconsistent responses, and report your findings,
• If you can support the preparation of evaluation (eval) sets and the development of test scenarios,
• If you can contribute to quickly testing new ideas by developing small-scale prototypes,
• If you can document your work and share your findings with the team in a clear and understandable way,
• If you can follow developments in artificial intelligence and share what you learn with the team,

What Kind of Teammate Are We Looking For?

• If you are currently studying Computer Engineering, Software Engineering, Artificial Intelligence Engineering, Data Science, or a related field at a university,
• If you are comfortable working with Python and familiar with basic software development practices (Git, debugging, code readability),
• If you are familiar with REST APIs, JSON, and client-server architecture, and understand how a service is called and how its response is processed,
• If you are interested in LLM-based applications and have tried working with a model API, at least through personal projects,
• If you are familiar with concepts such as prompt engineering, RAG, agents, and tool calling,
• If you understand data types and data structures, and can identify and organize missing or incorrect data,
• If you have a basic understanding of fundamental machine learning methods,
• If you have sufficient English proficiency to follow technical documentation,
• If you enjoy researching and solving new problems and are a quick learner,
• If you are open to learning and willing to take responsibility,

What is here for you?

• You can continuously improve your personal, professional, and technical competencies by participating in our training programs that support you and your career,
• Opportunities for global opportunities and rotation among more than 120 international markets among more than 50 organizations can always knock on your door,
• Leaves at Eczacıbaşı are calculated according to the seniority year based on the total working experience of the person. Your permission comes with you,
• We always appreciate their success with different rewarding methods,
• You can benefit from location-independent or hybrid working opportunities with different working models according to the nature of your job, and you can determine your own working schedule with flexible working hours. We offer technology and ergonomics support packages to Eczacıbaşı employees who work remotely full-time,
• Being a parent working at Eczacıbaşı is privileged. At Eczacıbaşı, our employees who are mothers are provided with monthly nursery support and our employees who are fathers are entitled to 3-week paternity leave,
• We are determined to provide equal opportunity in employment. We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status or seniority. #WeDoNotDifferentiateBetweenJobsForWomenAndMen