Senior AI/LLM Data Scientist in Agentic AI
Istanbul, Turkiye
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAs 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
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- 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.
Qualification wording
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.
Tools in this posting
- Python
- Azure
Source — Tool mentions in context
- 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
About ING Group
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
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 12
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Check the listed location, eligibility and core experience before starting.
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Job description
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:
- AI agents that interact with tools, APIs, databases, and business applications.
- Multi-agent workflows that support complex reasoning and decision-making processes.
- Retrieval-Augmented Generation (RAG) architectures powered by vector databases and embedding-based retrieval.
- Context-aware AI solutions that combine business data, enterprise systems, and Large Language Models.
- Agent evaluation, monitoring, governance, and reliability frameworks.
- AI solutions operating within highly regulated financial-services environments.
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:
- 5+ years of experience in Data Science, Machine Learning, NLP, Generative AI, or related disciplines.
- A degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, or a related field.
- 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.
- Familiarity with fine-tuning, PEFT, prompt engineering, or similar customization techniques.
- Experience integrating AI systems with APIs, tools, databases, workflows, and enterprise platforms.
- 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
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
- Welcome Leave: Enjoy 14 days of welcome leave, even in your first year
- Career Opportunities: Self-driven career paths and international opportunities
- Personal Growth: Challenging work and continuous development
- Dynamic Environment: Informal, vibrant, and collaborative culture
- Innovation Culture: Explore and apply PACE methodology
- Global Exposure: Participate in international projects and communities
- Communication & Celebrations: Various communication activities and celebrations
- Health Care: Comprehensive private health insurance for you and your family
- Private Pension Plan
- Meal Card
- Transportation Allowance
- MultiSport Membership
- English Language Development Support
- Remote working opportunities throughout August
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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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Istanbul, Turkiye
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.
More source context
- English Language Development Support - Remote working opportunities throughout August How to Apply
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