AI Engineer

Lithuania·VilniusRemoteExternalmid

Machine Learning EngineerData

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Overview

Scale Tech is a software development agency based in Vilnius, Lithuania. We're expanding our AI capabilities and looking for an experienced AI Engineer to join us on a contract basis.

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Machine Learning EngineerData

Scale Tech is a software development agency based in Vilnius, Lithuania. We're expanding our AI capabilities and looking for an experienced AI Engineer to join us on a contract basis. If you love turning LLMs into real, production-ready automation, not just prototypes — this could be your next project.

Contract term (B2B) — 1–4 months, full-time. Part-time can also be arranged if that suits you better.
Working method — Remote, must be based in the EU/EEA
Hourly rate — €30–40/hour, depending on experience (open to discussing higher rates for the right candidate)

Design, build, and deploy AI agents that automate real business processes (e.g. generating proposals for client tenders).

Integrate LLMs — including OpenAI, Gemini, Anthropic, and open-source models — into existing software products, enabling features like AI chatbots that can act directly within a client's systems and data.

Spot automation opportunities and turn them into working solutions.

Choose the right LLM/tooling approach for each use case, weighing cost, performance, and reliability.

Own delivery end-to-end, from prototype to production.

5+ years of overall software engineering experience.

At least 5 successfully delivered AI/LLM projects.

Hands-on experience with multiple LLM providers (OpenAI, Gemini, Anthropic) as well as open-source models.

Experience building agentic workflows for process automation.

Experience integrating LLMs into production software products (chatbots, copilots, or similar AI-powered features).

Strong engineering fundamentals and the ability to work independently in a fast-moving, sometimes ambiguous environment.

Experience with SaaS products, especially in supply chain, logistics, or other B2B software domains.

Familiarity with agent frameworks (LangChain, LlamaIndex, CrewAI, or similar).

Experience with prompt engineering or fine-tuning at scale.