AI Engineer

EUR 40,800-80,400 per year
MIDDLE
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 3 Go @ 3 Linux @ 3 DevOps @ 3 Python @ 6 Azure @ 3 Git @ 3 Jira @ 3 API @ 3 LLM @ 3

Details

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Responsibilities

  • Architect scalable, maintainable backend systems that support Agent integration.
  • Create innovations in a company that is betting early on AI.
  • Collaborate with product teams to define and refine new prototypes and functionalities.
  • Stay updated with the latest developments in LLM (Large Language Models) and AI technologies, integrating them into our products as necessary.
  • Prototype new features and products using Generative AI.
  • Make prototypes that quickly prove the feasibility of solutions, using commercially available APIs and/or local Generative AI models.
  • Optimize prototypical solutions and get them production-ready through prompt engineering, fine-tuning, etc.

Requirements

  • A proactive individual with a strong openness to new ideas and innovations.
  • A "can-do" attitude, with the ability to present well-reasoned proposals and make informed decisions based on solid arguments.
  • Proven expertise in implementing Generative AI techniques, including prompt engineering, model fine-tuning, and embeddings for commercial use.
  • Experience with commercially available APIs (e.g., Google, Azure, OpenAI) for text/image generation, embeddings, function calling, fine-tuning, etc., and proficiency in fine-tuning prompts for high-quality outcomes.
  • Proficiency in deploying and optimizing open-source Generative AI models (e.g., LLaMA, Mistral), along with familiarity with related toolchains (e.g., Ollam, LangChain).
  • High curiosity to stay up to date with the state of the art of the fast-moving AI field.
  • Strong skills in Python programming.
  • At least 1–2 years of experience in LLM-related projects.
  • Capable of developing robust RESTful APIs and containerizing applications with Docker.
  • Knowledgeable in Linux and DevOps methodologies, including the use of Git, Jira, and Docker.

Benefits

  • Gross salary range: 3400–6700 EUR/month (listed by employer).
  • Employment type: Full Time.
  • Workplace: Hybrid (team: Backend - Saily). Main locations: Vilnius, Kaunas, Lithuania.
  • Opportunity to work on state-of-the-art LLM and Generative AI prototypes and bring them production-ready.