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Agentic AI Engineer

Remote / Online - Candidates ideally in
Marmara Bölgesi, Turkey (Türkiye)
Listing for: ING Hubs Türkiye
Remote/Work from Home position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 900000 TRY Yearly TRY 900000.00 YEAR
Job Description & How to Apply Below

Build the next generation of AI systems powering one of Europe's most innovative banking networks.

The agentic systems you build in Istanbul will support ING's international operations across multiple countries and business domains. These are not proof-of-concepts or experimental playgrounds — they are production-grade AI systems designed to operate at scale within the infrastructure of a global financial institution.

As an Agentic AI Engineer within ING Hubs Türkiye's Analytics Engineering Center of Excellence, you'll work at the intersection of cutting‑edge AI, distributed systems, software engineering, and financial services. You'll design, build, and scale intelligent agent ecosystems that help ING become increasingly data‑driven and AI‑powered.

Role Summary

As an Agentic AI Engineer, you will specialize in the engineering and development of agentic solutions — AI systems that leverage autonomous and collaborative agents to solve complex business challenges.

Your primary focus will be designing, building, deploying, and operating distributed agentic architectures using modern AI frameworks, cloud‑native technologies, and production software engineering practices.

You will work closely with data scientists, data analysts, engineers, and product teams to bring innovative AI capabilities from concept to production while helping establish the engineering foundations of ING's growing agentic AI ecosystem.

Work Model

At ING Hubs Turkiye, flexibility is more than a benefit — it's part of how we work.

Our hybrid way of working is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together at our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote.

We also offer additional flexibility during the summer period, with remote working opportunities throughout August, allowing colleagues to spend more time where they feel most productive while staying connected to their teams.

As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to solutions that create impact across the bank.

About the Team

The Analytics Engineering Center of Excellence team, with more than 100 colleagues and growing, plays a key role in helping ING become increasingly data‑driven.

Our mission is to deliver scalable, impactful analytics and AI solutions that create measurable business value. We foster a collaborative and innovative engineering culture where experimentation, ownership, learning, and continuous improvement are encouraged.

You will join a multidisciplinary environment where software engineers, data scientists, analytics engineers, and product professionals work together to solve complex challenges using modern AI technologies.

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.

What You Bring
  • Experience building microservices and REST/gRPC APIs
  • Experience with asynchronous programming models
  • Hands‑on experience with Google Cloud Platform, including Vertex AI, Cloud Run, Pub/Sub, Big Query and Terraform‑based infrastructure provisioning
  • Experience deploying and operating applications with Docker, Kubernetes, Open Shift and CI/CD pipelines
  • Basic networking knowledge
  • Basic understanding of Infrastructure‑as‑Code principles
  • Familiarity with neural networks, model training and evaluation concepts
  • Practical experience working with LLMs including Gemini, Claude or similar models
  • Experience designing and implementing RAG systems and vector databases
  • Familiarity with multi‑agent frameworks such as Lang Chain, Lang Graph, CrewAI or ADK
  • Strong software engineering fundamentals including version control, testing, documentation and code reviews
  • Experience collaborating with cross‑functional teams
Production Engineering Mindset

We are looking for engineers who have successfully delivered AI solutions into production environments.

You have shipped AI‑powered services, RAG systems, agent‑based…

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