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Day 17
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Reads like an AI Engineer role: building products on existing AI models.
Istanbul, 34, TR
Live, first seen by us 17 days agoAs an Senior AI/LLM Data Scientist in Agentic AI, you will design, build, and deploy AI agents and intelligent workflows powered by Large Language Models.
Working closely with Product Leads, Engineers, Architects, and business stakeholders, you'll turn emerging AI capabilities into scalable solutions that create measurable business value.
Design, build, and deploy AI agents and intelligent workflows powered by LLMs
Build multi-agent workflows for complex reasoning and decision-making
Design RAG architectures using vector databases and embedding-based retrieval
Build agent evaluation, monitoring, governance, and reliability frameworks
Help define technical standards and guide architectural decisions
As an Senior AI/LLM Data Scientist in Agentic AI, you will design, build, and deploy AI agents and intelligent workflows powered by Large Language Models.
Working closely with Product Leads, Engineers, Architects, and business stakeholders, you'll turn emerging AI capabilities into scalable solutions that create measurable business value.
you will design, build, and deploy AI agents and intelligent workflows powered by Large Language Models
Multi-agent workflows that support complex reasoning and decision-making processes.
Retrieval-Augmented Generation (RAG) architectures powered by vector databases and embedding-based retrieval.
Agent evaluation, monitoring, governance, and reliability frameworks.
you'll help define technical standards, guide architectural decisions
5+ years of experience in Data Science, Machine Learning, NLP, Generative AI, or related disciplines.
Experience building and deploying production-grade AI applications.
Strong Python skills and experience delivering production-ready code.
Experience building LLM, Generative AI, NLP, or Agentic AI solutions.
Practical experience designing and implementing RAG systems using vector databases, embeddings, and retrieval-based architectures.
Experience with modern LLM development patterns, prompting techniques, evaluation approaches, and model optimization methods.
With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business.
In the employer’s words · Read in context
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Day 17
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
47 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience building and deploying production-grade AI applications. - Strong Python skills and experience delivering production-ready code. - Experience building LLM, Generative AI, NLP, or Agentic AI solutions.
- Strong communication skills and fluent English. Experience with LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, Azure AI, OpenAI APIs, Vertex AI, workflow orchestration platforms, or distributed AI architectures will be considered an advantage. Equal Opportunity
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Help define how Agentic AI is built across ING
Artificial Intelligence is rapidly evolving from predictive models and conversational interfaces into autonomous systems capable of reasoning, planning, and taking action.
At ING, we're building the next generation of banking capabilities through Agentic AI. As part of our global Analytics Engineering organization, you'll help develop intelligent systems that support domains such as Pricing, Risk Management, Financial Crime, Customer Intelligence, and People Analytics.
As an Senior AI/LLM Data Scientist, you'll play a key role in shaping how these capabilities are designed, scaled, and adopted across ING's international network.
Why This Role Is Different
This role is designed for experienced individual contributors who want to expand their technical influence without moving into people management.
Beyond building solutions, you'll help define technical standards, guide architectural decisions, and contribute to the evolution of Agentic AI practices across the organization.
You'll work on real-world applications of Generative AI, LLMs, retrieval systems, and agentic workflows while collaborating with teams across multiple countries and business domains.
About the Role
As an Senior AI/LLM Data Scientist in Agentic AI, you will design, build, and deploy AI agents and intelligent workflows powered by Large Language Models.
Working closely with Product Leads, Engineers, Architects, and business stakeholders, you'll turn emerging AI capabilities into scalable solutions that create measurable business value.
This role sits above our Senior AI/LLM Data Scientist track and is intended for professionals who want to deepen their technical impact while remaining hands-on.
Work Model
At ING Hubs Türkiye, flexibility is more than a benefit—it's part of how we work.
Our hybrid working model is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote.
As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to AI solutions that support international banking operations.
What You'll Help Build
As an Senior AI/LLM Data Scientist, you'll work on some of the most advanced AI challenges within ING.
This may include:
For example, you might help design a multi-agent workflow that retrieves information from multiple sources, generates recommendations, and supports decision-making across customer, risk, or operational processes.
About You
We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.
We're looking for someone with strong AI expertise who enjoys solving complex problems and turning innovative ideas into production-ready solutions.
You likely bring:
Experience with LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, Azure AI, OpenAI APIs, Vertex AI, workflow orchestration platforms, or distributed AI architectures will be considered an advantage.
Equal Opportunity
Don't meet every single requirement? Don't let that hold you back. Studies show many talented professionals hesitate to apply unless they meet every qualification. If you're excited about this role and believe you can make an impact, we'd love to hear from you.
What We Offer at ING Hubs Türkiye
At ING Hubs Türkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding.
Be Yourself, Be an ING'er
How to Apply
Click the application button on our careers page and submit your application through Workday.
About ING
With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business.
Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues?
Then there is no better place to invest your talents than at ING.
Join us. Apply today.
About ING Hubs
Following ING's strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
Present in Poland, Romania, Slovakia, the Philippines, Türkiye and Spain, ING Hubs employ more than 13,000 professionals in domains such as software development, data management, operations and non-financial risk.
Discover ING Hubs Türkiye
ING Hubs Türkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
We value strong work ethics, knowledge sharing and flexibility in our way of working – it is both our promise to you and what we look for in new colleagues.
Let's meet!
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Istanbul, 34, TR
At ING Hubs Türkiye, flexibility is more than a benefit—it's part of how we work. Our hybrid working model is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote. As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to AI solutions that support international banking operations.
- English Language Development Support - Remote working opportunities throughout August How to Apply
No clear work-authorization passage found. Eligibility is unconfirmed.