AI ENGINEER / AI AGENT DEVELOPER

QNB Türkiye; Fatih; On-site; TRY 350,000 - 550,000; Full time

Job summary

QNB Türkiye is expanding its AI team and seeks an engineer with hands-on experience building AI agents. You will work on agentic systems from design to production within our in-house AI team for banking processes.

You will design, develop, and maintain LLM-based agents, architect end-to-end workflows, and integrate with internal systems with strong emphasis on safety, compliance, and performance. fluency in English is required.

Qualifications

• Bachelor's degree in a related field.
• 3–4 years of AI engineering experience with LLM-based apps.
• Strong Python and software engineering practices.
• Experience with LLM APIs and agent frameworks.

Responsibilities

• Design, develop, and maintain LLM-based AI agents and workflows.
• Architect end-to-end agentic systems including memory, retrieval, and tool calls.
• Integrate agents with internal banking systems securely.
• Build guardrails and safety layers for regulatory compliance.
• Apply prompt, context engineering, and fine-tuning techniques.
• Collaborate with IT, security, and business units on AI projects.
• Stay updated on LLMs and AI tooling and evaluate new technologies.

Skills

Python

LLM APIs

Agent frameworks

REST APIs

SQL

Microservices

RAG architectures

Vector databases

English fluency

Problem solving

Education

Bachelor's degree in Computer Engineering or Software Engineering

Tools

LangChain

LangGraph

LlamaIndex

Langflow

Job description

QNB is always supporting employees who are eager to create a development at their career and the future of the sector. Our human resources policies are aiming to create an equal, fulfilled and empowering working atmosphere for individuals willing to have a satisfying career journey.

We're growing our AI team and looking for an engineer with hands-on experience building AI agents. You'll work on agentic systems from design to production, together with a team that builds everything in-house.

In this role, you will:

• Design, develop, and maintain LLM-based AI agents and multi-agent workflows that automate and enhance internal and customer-facing banking processes
• Architect end-to-end agentic systems, including orchestration, tool and function calling, memory, retrieval (RAG), and skill/connector integrations
• Hands-on experience with tool-use design, multi-agent architectures, and Model Context Protocol (MCP)
• Integrate AI agents with internal banking systems, APIs, databases, and enterprise data sources in a secure and scalable way
• Build and maintain guardrails, output validation, and safety layers so agent behavior stays accurate, compliant, and aligned with regulatory and data privacy requirements
• Apply prompt engineering, context engineering, and fine-tuning techniques (e.g. LoRA) to optimize model performance for banking-domain use cases
• Collaborate closely with cross-functional teams, particularly IT, security, and business units, to define, prioritize, and deliver AI projects
• Keep up with the latest developments in LLMs, agent frameworks, and AI tooling, and evaluate new technologies for adoption

We are waiting for your application if you have:

• A bachelor's degree from a reputable university, preferably in Computer Engineering, Software Engineering, Mathematics, or a related field
• Minimum 3-4 years of experience in AI engineering or related roles, including hands-on experience building LLM-based applications
• Strong proficiency in Python and solid software engineering practices
• Hands-on experience with LLM APIs and agent frameworks or orchestration tools (e.g. LangChain, LangGraph, LlamaIndex, Langflow, or similar)
• Experience with RAG architectures, vector databases, and embedding models
• Familiarity with REST APIs and microservices
• Good command of SQL and experience working with enterprise data sources
• Experience with model serving, inference optimization, or self-hosted open-source models is a plus
• Experience with speech technologies (STT/TTS) or voice agents is a plus
• Awareness of AI safety, security, and data privacy principles in regulated environments
• Fluency in English, both written and spoken
• An open mind, a strong analytical point of view, problem-solving skills, and a passion for building things that people actually use

If you've built agents before and want to work on them at the scale of a large bank, we'd like to hear from you.