Senior Machine Learning Engineer (Agentic AI)

Insiderone; Fatih; On-site; TRY 669,600 - 1,227,600; Full time

Benefits offered by this job

Private health insurance

ESOP

Remote work in Turkey

Learning platform access (Spotify, Lin

Job summary

Insiderone in Turkey seeks a Machine Learning Engineer to design and deploy AI systems powered by LLMs and Foundation Models. You will build scalable production services supporting global brands, leading end-to-end features and collaborating with cross-functional teams.

The role requires 5+ years in software development, strong Python and SQL skills, and hands-on experience with agent orchestration frameworks. Remote in Turkey; ESOP offered.

Qualifications

• Graduated from Computer Engineering or a similar department.
• Have at least 5 years of experience in software development.
• Proficient in Python.
• Have knowledge of SQL for data manipulation and transformation.
• Familiar with the machine learning life cycle.
• Hands-on experience with agent and LLM orchestration frameworks (e.g., Strands SDK, Google ADK, LangChain / LangGraph) and familiarity with LLM observability tools (e.g., Langfuse).
• Have a good knowledge of software development lifecycle best practices (Agile Methodologies, Coding Standards, CodeReviews, Resource Management, Development Processes, Deployment, Testing, and Operations).
• Have experience with AWS or other cloud services.
• Have advanced English skills.
• Kubernetes knowledge is a plus.

Responsibilities

• Design, prototype, implement, and maintain scalable AI systems powered by LLMs and Foundation Models.
• Build agentic AI applications — multi-step LLM workflows with RAG, tool/function calling, and structured outputs.
• Design and run evaluation pipelines to measure and improve agent quality (LLM-as‑judge, regression testing, safety/red‑team evaluation).
• Collaborate with frontend, product, and other engineering teams to design API contracts and deliver end‑to‑end features.
• Monitor the performance, latency, cost, and SLAs of AI systems in production.
• Provide technical leadership and drive the necessary infrastructure or architectural changes.

Skills

Python

SQL

English

LLM orchestration frameworks

Agile methodologies

AWS/cloud services

Kubernetes knowledge

Education

Bachelor’s degree in Computer Engineering or similar

Tools

Strands SDK

Google ADK

LangChain / LangGraph

Langfuse

Job description

Machine Learning Engineer – Role Overview

We are looking for a Machine Learning Engineer who wants to take their career one step further. In this role you will work on AI and predictive systems, building high‑volume production services that support the world’s leading brands.

Responsibilities

• Design, prototype, implement, and maintain scalable AI systems powered by LLMs and Foundation Models.
• Build agentic AI applications — multi‑step LLM workflows with RAG, tool/function calling, and structured outputs.
• Design and run evaluation pipelines to measure and improve agent quality (LLM-as‑judge, regression testing, safety/red‑team evaluation).
• Collaborate with frontend, product, and other engineering teams to design API contracts and deliver end‑to‑end features.
• Monitor the performance, latency, cost, and SLAs of AI systems in production.
• Provide technical leadership and drive the necessary infrastructure or architectural changes.

Qualifications

• Graduated from Computer Engineering or a similar department.
• Have at least 5 years of experience in software development.
• Proficient in Python.
• Have knowledge of SQL for data manipulation and transformation.
• Familiar with the machine learning life cycle.
• Hands‑on experience with agent and LLM orchestration frameworks (e.g., Strands SDK, Google ADK, LangChain / LangGraph) and familiarity with LLM observability tools (e.g., Langfuse).
• Have a good knowledge of software development lifecycle best practices (Agile Methodologies, Coding Standards, CodeReviews, Resource Management, Development Processes, Deployment, Testing, and Operations).
• Have experience with AWS or other cloud services.
• Have advanced English skills.
• Kubernetes knowledge is a plus.

Benefits

• Enjoy a monthly meal allowance designed to enhance your daily routine.
• Access comprehensive private health insurance.
• Feed your curiosity with access to Spotify, LinkedIn Learning, Blinkist, MasterClass, Neoskola, and CloudGuru.
• Level up with internal trainings covering AI fundamentals, coding, foreign languages, and a wide range of personal development skills.
• Be part of a diverse team that’s as global as it gets, where every voice is heard and 50+ nationalities build together.
• Become a Shareowner through our eligibility‑based “ESOP” and own a piece of what you build.
• Help build the team you want to work with and enjoy rewarding referral bonuses.
• Opportunities to give back to your community through volunteering and purpose‑driven social impact projects.
• From global retreats to team‑building activities, expect year‑round events that turn into lifelong memories.
• Get inspired by the greatest minds in the tech industry through events like our Tech & Dev Talks.
• Work from anywhere in Turkey through our fully remote setup.

Equity & Remote

Opportunity to become a shareowner through an eligibility‑based ESOP. The role is fully remote within Turkey.

Equal Opportunity Statement

We provide equal opportunity in a zero‑discrimination workplace and not just welcome but also embrace everyone without regard to sex, race, color, nationality, religion, gender identity, sexual orientation, disability status, citizenship, or marital status.