Senior AI Engineer

Octet Turkey; Sarıyer; On-site; TRY 900,000 - 1,300,000; Full time

Job summary

Octet Turkey is seeking a Senior AI Engineer to drive our AI transformation by designing and building enterprise-grade AI solutions for production environments. You will work with LLMs, RAG architectures, and agentic AI to deliver scalable, secure, and regulated AI for financial services.

The role requires hands-on experience in deploying real-time and conversational AI, building AI agents, and implementing robust CI/CD pipelines with Kubernetes in production settings.

Qualifications

• Bachelor’s degree or equivalent practical experience in CS/related field.
• Proven track record deploying production-grade LLM-powered apps.
• Deep expertise in LLM engineering, RAG, agentic AI, prompt engineering, evaluation & optimization.

Skills

LLM engineering

RAG

Agentic AI

Prompt engineering

Model evaluation

Optimization

LangGraph

Semantic Kernel

CrewAI

AutoGen

Retrieval pipelines

Embeddings

Vector databases

Kubernetes

MLOps

CI/CD

APIs and event-driven

Education

Bachelor’s degree in Computer Science / related field

Tools

LangGraph

Semantic Kernel

CrewAI

AutoGen

Job description

We are looking for a Senior AI Engineer to help drive our AI transformation by designing and developing enterprise-grade AI solutions that operate reliably in production environments.

In this role, you will work with Large Language Models (LLMs), Agentic AI, RAG architectures, and enterprise AI platforms. You will play a key role in designing, building, deploying, and continuously improving scalable, secure, and regulation-compliant AI solutions for the financial services industry.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience..
• Proven track record of designing, building, deploying, and operating production-grade applications powered by large language models (LLMs)..
• Deep expertise in LLM engineering, retrieval-augmented generation (RAG), agentic AI, prompt engineering, model evaluation, and optimization..
• Hands-on proficiency in building AI agents with frameworks such as LangGraph, Semantic Kernel, CrewAI, or AutoGen..
• Strong command of advanced retrieval pipelines, including document processing, chunking strategies, embeddings, vector databases, reranking, and hybrid search..
• Ability to establish robust evaluation frameworks, tracing and observability mechanisms, regression testing, and AI quality-assurance processes..
• Familiarity with MLOps practices, CI/CD pipelines, Kubernetes, and the deployment and operation of AI systems in production..
• Background in developing real-time and conversational AI applications..
• Capability to design and implement AI-powered workflow automation and orchestration solutions, including external system integrations, APIs, and event-driven processes..
• Knowledge of delivering AI solutions in regulated environments; financial-services experience is preferred..
• Demonstrated ability to deliver highly available, scalable, reliable, and operationally mature AI systems..