AI/ML Developer

AI overview

Design and optimize large language model-driven personal assistant systems, enhancing multi-step interactions and recommendation engines, while collaborating with engineering teams.

About us:
Yonder Media Mobile is a global startup creating innovative mobile apps that blend entertainment and connectivity. Our flagship app, Global YO, is an eSIM mobile network+, providing affordable, reliable connectivity in over 200 destinations worldwide. Our mission is to keep people connected 24/7/365, even in areas with low bandwidth, empowering travelers with the freedom to stay online anytime, anywhere. By harnessing cutting-edge technology and a robust network, Global YO is revolutionizing global travel with seamless connectivity options for everyone. 

With a global team spread across United States, Mexico, Ukraine, Belarus, Poland, and Spain we foster a collaborative culture that values growth, self-advocacy, and meaningful contributions. 


We are looking for an experienced AI/ML Developer specialized in Large Language Models (LLMs) to design, implement, and optimize intelligent personal assistant system.


You will work on building complex multi-step interaction flows, personalized recommendation engines, and contextual memory systems — integrating LLM-driven agents with real-world tools and user data.


This role combines hands-on system design, model orchestration, and applied research in adaptive, human-centered AI.



Key Responsibilities:

  • Designing and implementing personal assistant scenarios powered by LLMs (task planning, scheduling, communication handling, summarization, etc.).
  • Developing personalized recommendation systems that adapt to user behavior, preferences, and past interactions.
  • Optimizing and fine-tuning LLM workflows (prompt engineering, embeddings, RAG pipelines, vector search).
  • Developing and maintaining AI-driven applications and integrations across multiple tools and platforms.
  • Working with OpenAI, Anthropic, or similar APIs, and exploring new LLM frameworks (LangChain, Semantic Kernel, CrewAI, etc.).
  • Conducting ongoing R&D in AI assistant technologies — personalization, memory retention, adaptive reasoning, and safety.
  • Collaborating with product and engineering teams to define, prototype, and evolve intelligent assistant capabilities.



Requirements:

  • Proven experience working with LLMs (e.g., GPT-4, Claude, Llama, Mistral).
  • Deep understanding of LLM architecture, prompt engineering, and context-aware personalization.
  • Experience designing behavioral-driven recommendation systems or adaptive AI responses based on user data.
  • Strong grasp of vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG).
  • Experience integrating APIs, automations, and user-facing tools in scalable architectures.
  • Familiarity with modern development environments, version control, and cloud infrastructure.
  • Product-focused mindset with the ability to balance innovation, privacy, and usability.
  • Excellent analytical, problem-solving, and communication skills.
  • Native level of Ukrainian, Belarusian, Russian; proficient in English.

 

Preferred:

  • Background in Natural Language Processing (NLP), user modeling, or Human-Computer Interaction (HCI).
  • Previous work on AI-powered personal assistants or recommendation engines.


Location: Europe (preferably Ukraine, Belarus, Poland)

What we offer:

  • Top-notch products disrupting the world of traditional media-services industry;
  • Work with brilliant software team with a high level of collaboration and desire to achieve goals;
  • Flexible working hours;
  • Competitive salary;
  • The possibility of personal and professional growth.

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Flexible working hours
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