Senior Machine Learning Engineer (Agentic AI) at Insider One
Istanbul
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Jul 21, 2026
Istanbul
Jul 23, 2026
What this job asks for AI summary
A machine learning engineering role focused on building and maintaining AI systems using large language models and foundation models. Day-to-day work includes developing agentic, multi-step LLM workflows with retrieval-augmented generation and tool calling, designing evaluation pipelines, and monitoring production AI systems for performance and cost. The role suits an experienced Python developer with hands-on background in LLM orchestration frameworks and cloud infrastructure.
Senior level · 5+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,150 people nationally plausibly meet what this posting asks for (software developers). range 1,300–3,900
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This role is based in Istanbul, Turkey (the posting explicitly states the Product and Development teams are located in the Istanbul office), so the US-based flag of false. The role is offered as fully remote within Turkey.
The degree requirement states 'Graduated from Computer Engineering or a similar department' — treated as a hard Bachelor's-level gate since it appears in the required qualifications block.
LangChain/LangGraph, Strands SDK, and Google ADK are listed together as interchangeable examples of agent/LLM orchestration frameworks; LangChain is used as the primary name with the others as alternatives.
Langfuse is listed as an example of LLM observability tooling within the required qualifications block ('familiarity with LLM observability tools (e.g., Langfuse)') — the 'e.g.' qualifier means the specific tool is interchangeable, but the observability capability itself is a hard gate; Langfuse is the only named tool so no alternatives are listed.
Kubernetes is explicitly called out as 'a plus' — listed as preferred accordingly.
The SOC classification is Medium confidence: the role is titled 'Machine Learning Engineer' and involves building agentic AI systems and LLM-powered applications (15-1252 Software Developers), but has meaningful ML/AI modeling scope that could also point to 15-2051 Data Scientists.
Read the full posting
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