Remote AI Engineer Jobs in Turkey (43)

Mid AI Engineer

Design, build, and deploy production-grade ML and LLM-based systems for enterprise clients. Own the end-to-end technical delivery while mentoring junior engineers and shaping internal technical standards.

Senior Agentic AI Engineer

Design, develop, and deploy autonomous AI agents and multi-agent systems to drive intelligent decision-making and workflow automation. Collaborate with cross-functional teams to architect scalable agentic platforms and implement robust monitoring and safety guardrails.

11090 - AI Engineer Pleno | AI Automation - Sênior

Develop AI agents and automation workflows using LLMs, LangChain, and LangGraph. Implement RAG pipelines and integrate AI solutions with internal systems, APIs, and databases.

1175 - Applied AI Engineer

The Applied AI Engineer will design, build, and deploy LLM-powered features and agents from prototype to production. They will also be responsible for implementing RAG, monitoring system performance, and collaborating with product teams to define technical criteria.

Generative AI Engineer

You will bridge the gap between functional design and technical implementation by creating low-level designs and prototype code for agentic AI systems. This involves running independent proofs of concept, proving integration patterns, and documenting solutions for a distributed development team.

Senior AI Engineer - ( MCP & LLM Integration)

The role involves leading the development of enterprise Model Context Protocol (MCP) integrations and establishing governed multi-model access. You will be responsible for building reference servers, connecting agentic workflows, and implementing model evaluation and observability frameworks.

AI ENGINEER

The AI Engineer will design, build, and optimize machine learning models and AI solutions to support enterprise automation and intelligent decision-making. They will also collaborate with cloud and engineering teams to deploy models and manage data pipelines.

Senior AI Engineer

Design and maintain production-grade agentic systems, including multi-agent orchestration and RAG pipelines grounded in company data. Implement AI infrastructure on AWS while ensuring compliance, safety, and high-quality output through rigorous evaluation frameworks.

AI Engineer

You will build tools to evaluate agent behavior, analyze traces, and implement features for automatic self-improvement. Additionally, you will run experiments on Mastra primitives to optimize configuration and performance.

Generative AI Engineer 11 applicants

The role involves developing scalable backend services and integrating Generative AI models, including RAG architectures, into production environments. You will be responsible for writing clean, efficient code, optimizing server performance, and collaborating on technical documentation and code reviews.

AI Engineer

Design, develop, and deploy multi-agent AI systems and RAG pipelines for reasoning and task execution. Collaborate with engineering teams to integrate data sources and implement observability frameworks for model performance monitoring.

Agentic AI Engineer

You will own the end-to-end architecture of AI trading agents, including orchestration, model routing, and the evaluation layer for strategy quality. You will also build data foundations and ensure system observability to maintain high-performance, statistically sound trading strategies.

Senior Generative AI Engineer

Design and develop scalable backend services and production-ready Generative AI solutions using LLMs. Collaborate with cross-functional teams to optimize AI workflows and contribute to software architecture and engineering best practices.

AI Engineer 17 applicants

The AI Engineer will design, develop, and maintain production-grade AI services and APIs using Python and modern orchestration frameworks. They will also build and optimize end-to-end RAG solutions while ensuring system quality through observability, evaluation, and performance monitoring.

Lead AI Engineer (LLM & Agents)

You will build and own the backend and Agent workflows for LLM-powered products, including multi-turn conversation systems and RAG. Additionally, you will drive continuous evaluation, ensure production reliability, and shape technical product decisions.

AI Engineer (P-180)

Design, build, and maintain production-grade AI/ML applications and SaaS products using LLMs and orchestration layers. Collaborate with global teams and customers to translate technical requirements into scalable, secure, and high-performance AI solutions.

Full Stack AI Engineer Python

Design, develop, and maintain scalable full-stack web applications using ReactJS and Python/FastAPI. Integrate AI technologies such as LLMs, RAG pipelines, and AI agents into robust backend services.

Senior AI Engineer (Conversational AI)

Staff AI Engineer

You will define the AI technical strategy and roadmap while serving as the internal authority on applied AI system design. You will build and scale reliable GenAI systems, including RAG and agentic architectures, while partnering with cross-functional teams to drive business impact.

Staff Applied AI Engineer

You will lead the development of AI-powered applications, setting technical standards for algorithmic quality and scalability. You will also define the AI roadmap, manage deployment, and contribute to prompting standards across the engineering team.

AI Engineer

The AI Engineer will lead the development and deployment of internal AI agents, intelligent search tools, and automated business workflows. They are responsible for integrating AI models with existing SaaS platforms and establishing robust infrastructure, security, and governance for AI initiatives.

AI / Generative AI Engineer – Fresher / Trainee 27 applicants

The candidate will assist in developing AI-powered applications, including working with LLMs, RAG solutions, and vector databases. They will also collaborate with software engineers to integrate AI features into production applications and perform data preprocessing.

AI Engineer - Core

You will design and implement agentic workflows and evaluation systems to ensure robust performance in production environments. Additionally, you will own the end-to-end lifecycle of AI systems, from experimentation and testing to monitoring and production maintenance.

Senior AI Engineer

The Senior AI Engineer will own the AI layer, including retrieval, agents, and natural language interfaces over enterprise data. They will collaborate with cross-functional teams to deliver scalable, production-ready solutions while ensuring high quality through rigorous evaluation.

OB - Lead AI Engineer

You will lead the development and maintenance of a secure AI-driven pipeline, establishing the conventions, gates, and autonomy tiers for AI-generated code. The role involves owning the knowledge plane, implementing verification gates, and continuously calibrating the system based on incident history and performance metrics.

1909 Fullstack AI Engineer

The role involves developing full-stack software solutions while integrating artificial intelligence to accelerate development processes. You will be responsible for applying AI tools and techniques, such as LLMs and RAG, to enhance technical output.

Lead AI Engineer

The Lead AI Engineer will design and implement end-to-end AI/ML solutions, including LLM-based applications and RAG pipelines. They will also be responsible for operationalizing models through MLOps practices and ensuring data governance across enterprise systems.

AI Engineer 15 applicants

The AI Engineer will design, build, and deploy production-ready AI features including LLM-backed workflows and retrieval systems. They will also own the data path, define evaluation metrics, and monitor deployed systems for quality and performance.

Principal Agentic AI Engineer 11 applicants

Lead a technical SWAT pod to architect, build, and deploy production-grade Agentic AI solutions and intelligent workflows. Mentor engineering staff while driving technical consistency and best practices across multiple AI workstreams.

AI Engineer (Data Guardrails & LLM Ingestion Pipelines) 14 applicants

Design and build scalable data ingestion, cleaning, and LLM enhancement pipelines to power AI applications. Implement AI guardrails and RAG architectures to ensure the accuracy and reliability of AI-ready datasets.