We are building a new AI for Tech Chapter focused on developing internal AI agents, automation workflows, and an AI orchestration platform that will support the productivity of our engineers across the organization.

We are looking for an AI Engineer (Junior/Mid) who is passionate about building with LLMs, learning new technologies, and experimenting with modern agentic AI architectures.

What you will do;

Build and prototype AI agents - Develop internal AI agents and automations for engineering workflows including SDLC processes, documentation generation, and code analysis, etc.

• Work with LLM APIs (OpenAI, Azure OpenAI, etc.) and orchestration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen…)
• Collaborate on RAG pipelines, vector databases, evaluation workflows, and platform components
• Integrate agents with internal systems (ServiceNow, Azure DevOps, observability tools, etc.)
• Research new AI tools, frameworks, and agent patterns — and present findings to the team

Develop backend services - Write clean Python code for APIs, workflow logic, and agent orchestration while learning software engineering fundamentals from the team

Build quality and reliability practices - Help establish monitoring, logging, testing, and observability standards for production AI systems

Document and share knowledge - Contribute to internal documentation, technical playbooks, and best practices that help the team scale

What we are looking for;

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
• Strong academic foundation in Machine Learning, NLP, or Generative AI through coursework, thesis, or research projects
• Up-to-date with latest AI/ML research and trends - you actively read papers and follow developments in LLMs, agents, RAG, and emerging techniques
• Demonstrated ML/GenAI project experience through university research, thesis, internships, hackathons, or personal GitHub repositories
• Solid software development fundamentals programming skills with ability to write clean, functional code (Python preferred, but Java/Go/.NET acceptable)
• Familiarity with at least one of these is a plus:
• • Vector databases (Pinecone, Chroma, Weaviate...)
• • LangChain / LlamaIndex / AutoGen / CrewAI
• • Prompt engineering, RAG, embeddings
• Basic hands-on experience with LLMs - you've experimented with OpenAI, Claude, or similar APIs and understand prompt engineering
• Ability to read academic papers and translate research concepts into practical code implementations
• Fast learner with strong problem-solving abilities and eagerness to master production engineering practices
• Excellent communication skills - can explain complex AI concepts clearly to both technical and non-technical audiences
• Collaborative mindset - comfortable learning from senior engineers and contributing fresh perspectives from academia

Nice to Have

• Software engineering fundamentals: CI/CD, Git, APIs, Docker, or backend development basics
• Agent framework exposure (LangChain, LlamaIndex, CrewAI) or RAG/vector database experimentation
• Master's thesis or research publications in LLMs, NLP, Generative AI, or related ML areas

What We Offer:

At ING, we believe your work should inspire and fulfill you. That’s why we prioritize every detail to ensure you have an exceptional experience:

You First Become Your True Self, Then an INGer:

• Flexible and hybrid working models, including remote options every third week of the month and during summer.
• 14 days of welcome leave in your first year—don’t wait to pursue your dreams!

Continuous Growth and Development:

• Access to global and local learning opportunities through ING Academy, LearnUp, and certification programs with leading universities.
• Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
• Flexible career experiences await you through Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (Çifte Kariyer), Turuncu Misafir, and Global STA/LTA programs, designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
• When you step into a managerial role at ING, our exclusive RISE Leadership Program empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.

A Dynamic and Supportive Work Environment:

• An informal and collaborative culture where your ideas and innovations are valued.
• Social clubs, celebrations, and events to help you balance work and fun.

We Care About You:

• Comprehensive health insurance for you and your loved ones.
• Private pension plans to help you achieve your future goals.
• On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.

At ING, we’re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.

For more information about our Orange Culture, click here now:

https://youtu.be/Q-tB2-J1lzQ

If you want to do your thing and explore the life while working don’t miss this opportunity!

Candidates are expected not to share any sensitive personal data.