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Senior Python AI/ML Engineer at Intetics. 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 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.. . Company Location: Ukraine.