Ing Hubs Turkiye
PrincipleAgenticAIEngineer
“Principle Agentic AI Engineer at Ing Hubs Turkiye. Skills: Agentic AI, GenAI, Python, ML systems. Drive development and scaling of distributed agentic AI solutions. Build multi-agent frameworks”
What You'll Achieve.
deliver real business impact; deliver AI-driven solutions; technical decisions support business outcomes; long-term sustainability; deliver scalable, production-ready AI solutions
Industry & Context.
translate requirements into technical problems; dealing with ambiguity; pragmatic, outcome-driven approach
What They're Looking For.
Must Have
Python programming proficiency, solid software engineering foundation, LLMs (e. g. Gemini, Claude), RAG architectures, vector databases, production-grade ML systems, monitoring and observability, cloud platforms, GCP, cloud-based managed services, microservices architectures, REST / gRPC APIs, async programming models, Infrastructure-as-Code (e. g. Terraform), Docker, CI/CD pipelines, automated deployment practices, version control, testing, documentation, code reviews, data scientists, data analysts, product owners, SMEs, scalable, production-ready AI solutions
Nice to Have
agentic AI frameworks (ADK, LangChain, LangGraph, CrewAI), multi-agent workflows, traditional ML model training and testing, Java / Kotlin, Kubernetes, OpenShift, high-load APIs, OpenAPI integration and governance, networking knowledge, event-driven architectures, open-source projects
What You'll Do.
Drive development and scaling of distributed agentic AI solutions
Build multi-agent frameworks
Orchestrate interactions between agents
scalable AI capabilities
Mentor and guide engineers
Raise engineering standards and best practices
Contribute to solution design
and evolve agentic AI systems
Translate business problems
architectural discussions
Ensure AI solutions are production-ready
Collaborate with business stakeholders
Navigate ambiguity and rapidly evolving technologies
How You'll Work.
Team & Collaboration
work closely with data scientists; work closely with product owners; work closely with business partners; collaboration, learning, and technical excellence are core; work closely with Product Owners; work closely with data scientists, data analysts, product owners, and SMEs; Collaborate closely with business stakeholders, product owners, and data scientists
Communication Scope
verbal and presentation skills; clearly explain complex technical topics; leadership and communication skills; business mindset; communicate with business stakeholders
Process & Methodology
planning, prioritization
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