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AI Software Engineer

Commencis

Izmir, Turkey Hybrid permanent

Posted: April 27, 2026

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Quick Summary

Design and build production-grade LLM applications and agentic systems for real-world enterprise problems.

Job Description

At Commencis, we are seeking an AI Software Engineer to join our team. As part of our AI Lab ecosystem, you will design and build production-grade LLM applications and agentic systems, working on real-world enterprise problems. You will take part in the full lifecycle of AI systems, from data and model development to deployment, evaluation, and optimization.

If you are curious by nature, adaptive, collaborative, and always one step ahead, then join us and be a Commencer!


Responsibilities:

Collaborate with product and software teams to integrate AI solutions and forward-deploy production-grade systems into enterprise applications


Drive proof-of-concept initiatives and publish insights on emerging techniques


Orchestrate LLM-based agentic systems


Contribute in full-cycle AI development, from data pipelines and model training to deployment and monitoring


Design, build, and optimize production-grade machine learning models


Implement robust MLOps practices using Kubernetes, MLflow, and cloud services (AWS, Azure, GCP)


Advocate for ethical AI principles, ensuring fairness, transparency, and security


Qualifications:

BSc/MSc/PhD in Computer Science or related field


Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and transformer-based architectures


Proven experience in fine-tuning generative models (e.g. open-source LLMs, diffusion models)


Experience deploying AI solutions using containerization (Docker, Kubernetes) and CI/CD pipelines.


Proficiency in at least one agentic orchestration framework for building LLM-based systems


Comfortable working in AI-first development environments, leveraging agentic tools (e.g., Claude Code, Codex) to plan, build, and iterate faster.


Nice to Have:

Contributions to open-source AI projects


Expertise in LLM evaluation, and performance-cost optimization


Experience with advanced AI domains (graph neural networks, reinforcement learning)


Active engagement in AI communities (Kaggle, Huggingface).


Experience with agentic orchestration frameworks such as LangGraph, Google ADK, or similar tools


Why Commencis?

We want people to thrive at Commencis. Here’s what Commencers like about working here:

Competitive Compensation & Benefits: We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from home support and paid birthday off.

Happier Weekdays: We offer flexible working hours including remote working option. Online events, guest speakers, refreshments in the office, meeting-light culture, and many more to enjoy the weekdays.

Never Stop Learning: We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.

Community & Socials: We are a tight-knit community that loves gathering. Our social activities include happy hours, workshops, new year party, breakfast & lunch get-togethers, movie nights, and our Summer Festival.

Open Culture: We maintain a flat organizational structure with a culture of direct and open communication. We value Commencers’ voices and address any suggestions and questions you may have.

About Commencis

Join us in paving the way for a thriving digital society!

Commencis has more than two decades of expertise in the world of experience design, software engineering and cloud technologies. Our products and solutions are used by leading brands in financial services, insurance, airlines and retail in more than 20 countries.

We help our clients around the globe to commence their next evolution and pave the way for a thriving digital society. We love discovering what’s next. We value collaboration, curiosity, and an open mindset at work.

If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!

We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.

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