Senior AI/LLM Data Scientist in Agentic AI

ING Hubs B.V. Turkiye

Fatih

On-site

TRY 700,000 - 1,100,000

Full time

14 days+

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Benefits offered by this job

Private health insurance

Meal card

Transportation allowance

Remote working opportunities

Job summary

ING Hubs Türkiye seeks a Senior AI/LLM Data Scientist to design, build, and deploy AI agents and intelligent workflows powered by Large Language Models. You will collaborate with product, engineering, and business teams to translate emerging AI capabilities into scalable, production-ready solutions.

You will contribute to defining technical standards, guiding architectural decisions, and advancing Agentic AI practices across the organization while working in a hybrid model with regular on-site

Qualifications

5+ years of experience in Data Science, Machine Learning, NLP, Generative AI, or related disciplines.
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Responsibilities

Design, build, and deploy AI agents and intelligent workflows powered by Large Language Models.
Collaborate with Product Leads, Engineers, Architects, and stakeholders to turn emerging AI capabilities into scalable solutions.
Define technical standards and guide architectural decisions for Agentic AI across ING Hubs Türkiye.
Contribute to the evolution of Agentic AI practices and ensure governance and reliability across deployments.
Work on real-world applications of Generative AI, LLMs, retrieval systems, and agentic workflows across teams and domains.

Skills

Data Science

NLP

Generative AI

Python

LLM development

RAG systems

Vector databases

Embeddings

Prompt engineering

APIs integration

Communication

English fluency

Education

Degree in CS/AI/ML/Engineering/Math

Tools

LangGraph

LangChain

Semantic Kernel

CrewAI

AutoGen

Azure AI

OpenAI APIs

Vertex AI

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.

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 a 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

Our hybrid working model at ING Hubs Türkiye is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in the Istanbul 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

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.

About You

We hire smart people like you for their potential. Our biggest expectation is that you’ll stay curious, keep learning, and 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.

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

Do not let unmet qualifications hold you back. Studies show many talented professionals hesitate to apply unless they meet every requirement. If you’re excited about this role and believe you can make an impact, we’d love to hear from you.

What We Offer