Oglasi za posao Machine Learning Engineer
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Machine Learning Engineer

Shuru

Remote

17.01.2026.

Python AWS Azure Cloud Microservices Flask intermediate

Job Description

We are seeking a highly skilled Senior AI/ML with deep expertise in building AI-driven chatbot systems and end-to-end LLM-powered applications. In this role, you will architect and develop intelligent conversational experiences, work with LLM frameworks, and lead the design of scalable AI systems.

Key Responsibilities

  • Design, develop, and deploy AI-powered chatbots and conversational interfaces using Python.
  • Architect and build AI/LLM-based systems leveraging frameworks like Langchain, LlamaIndex, etc.
  • Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for retrieval-augmented generation (RAG) workflows.
  • Integrate LLM APIs (e.g., OpenAI, Anthropic, Cohere) and fine-tune models for domain-specific tasks.
  • Lead POCs and drive end-to-end product development from ideation to production.
  • Collaborate with product, ML, and backend teams to deliver scalable AI applications.
  • Optimize system performance and troubleshoot distributed architectures.
  • Lead and mentor junior engineers in the AI technology stack.

Requirements

  • 4+ years of industry experience with a strong focus on Python.
  • Proven experience in building and deploying AI/LLM-based products.
  • Familiarity with Langchain-style architectures and multi-agent workflows.
  • Strong understanding of vector databases, embeddings, and RAG pipelines.
  • Experience working with cloud services like AWS, GCP, or Azure.
  • Knowledge of API design, microservices, and event-driven architecture.
  • Solid grasp of data structures, algorithms, and performance optimization.
  • Strong communication and leadership skills.

Nice to Have:

  • Experience with fine-tuning LLMs or building custom NLP pipelines.
  • Exposure to frameworks like FastAPI, Django, or Flask.
  • Familiarity with Docker, Kubernetes, and CI/CD processes.

Benefits

  • Work on global projects with clients from worldwide.
  • Be part of a remote-first culture-work from anywhere with flexibility.
  • Enjoy team-building activities and regular outings.
  • Collaborate and grow in a supportive environment with opportunities to learn from senior engineers.
  • ​Competitive salary and benefits package.

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