AI Engineer (Contract) - Scale Tech
Job Description
Key Skills Required
Master these to land this role
Want to know if you're a match for this job?
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.
What you'll do:
- 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.
What makes you a great fit:
- 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.
Bonus points:
- 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.
- Prior consulting or contracting experience.
How would you rate this job post?
See what other professionals think about this role.
Similar Opportunities
AI-for-Security Domain Lead (Offensive Security & LLM Expert)
Neurons Lab
Romania
SloveniaAI Coding Problem Designer (Competitive Programming Specialist)
mindrift
EstoniaProduct Manager - Builder Experience
N8n
Berlin🌍Bosnia and HerzegovinaProduct Manager - Enterprise Developer Experience
N8n
Berlin🌍Bosnia and HerzegovinaMore Openings at ScaleTech
Explore Top Companies in this Space

Velixus Labs
Software Engineering & Product Development / Custom Application Development / Agile Digital Transformation / B2B Technology Services
Pinewood
Technology / Artificial Intelligence / Media & Entertainment / Enterprise Software
OxDynamics
Chemical Engineering / Industrial Automation / Environmental Technology / Process Optimization
Construction.com
Construction / Digital Marketplaces / B2B Services / Enterprise Software
ScaleTech
View Company ProfileScaleTech (operating at scaletech.lt) is a product engineering partner designed to accelerate the development of scalable software solutions for global enterprises. Founded in 2017 by Laurynas Pletkus and Darius Kavaliauskas and headquartered in Vilnius, Lithuania, ScaleTech specializes in delivering end-to-end product engineering services—bridging the gap between vision and execution for companies struggling to build and maintain high-performance web and mobile applications. Unlike traditional outsourcing models, ScaleTech embeds dedicated teams directly into client workflows, ensuring seamless collaboration and rapid iteration. Under the hood, the company leverages agile methodologies, UX/UI design expertise, and specialized engineering talent to transform complex ideas into polished, user-centric products. This allows businesses in fintech, healthcare, and beyond to scale their digital offerings without the overhead of in-house development bottlenecks. While specific funding details remain undisclosed, ScaleTech’s reputation as a trusted partner in Northern Europe underscores its commitment to delivering measurable results for clients across the Baltics, Nordics, and DACH regions.
Safety First
- Never pay for a job application.
- Do not share sensitive bank info.
- Verify the client before starting work.
