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Senior Python AI / ML Engineer

InteticsWorkFromHome, İstanbul, Türkiye

14 gün önce

İş tanımı

Overview

Intetics is a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and "all-things-digital" solutions. Based on our proprietary business model of Remote In-Sourcing, advanced Technical Debt Reduction Platform (TETRA), and measurable quality management platform (Predictive Software Engineering), Intetics enables clients to achieve measurable business results.

Position Details

Position : AI / ML Engineer
Seniority : Senior
Tech Stack : Node.js, Python, TypeScript, AI, ML
Location : Remote
Start Date : ASAP
Duration : Long-term
Rate : TBD
English level : Upper-Intermediate

Role details and expectations are described below.

Role Description

We are looking for a Senior AI / ML Engineer to join our team and work on building and optimizing advanced AI-driven solutions. The ideal candidate has strong engineering expertise, hands-on experience with large language models (LLMs), and a solid background in NLP. You will design, implement, and optimize AI / ML systems, collaborate with cross-functional teams, and contribute to delivering innovative products powered by state-of-the-art AI technologies.

Responsibilities

Design, develop, and optimize AI / ML solutions, focusing on LLMs and NLP applications.

Fine-tune, deploy, and maintain LLMs (OpenAI, Llama, Claude, Gemini, Grok).

Implement semantic search, embeddings, and vector-based solutions.

Integrate AI components using orchestration frameworks (LangChain, LangGraph, LlamaIndex).

Ensure reliable deployment with Docker / Kubernetes and modern DevOps practices.

Evaluate model performance using appropriate metrics and methodologies.

Requirements

5+ years of overall engineering experience, including 1+ year in AI / ML.

Strong proficiency in Python and Node.js (TypeScript).

Practical experience with fine-tuning, deployment, and optimization of LLMs.

Solid expertise in NLP, prompt engineering, embeddings, and semantic search.

Experience working with vector databases (Pinecone, Weaviate, Faiss, etc.).

Familiarity with orchestration frameworks for LLMs.

Hands-on experience with Docker and Kubernetes.

Good understanding of evaluation methods and metrics for LLMs.

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Senior Engineer • WorkFromHome, İstanbul, Türkiye