Develop and deploy AI-driven features within client delivery projects, covering backend services and user-facing interfaces.
Create and implement RAG pipelines, agent-based workflows, and LLM integrations for production applications.
Establish AI guardrails including input/output validation, content filtering, and fallback mechanisms to guarantee safe and reliable AI operation in production.
Write robust and maintainable backend code that underpins AI capabilities.
Utilize AI-assisted development techniques such as context engineering and spec-driven development to speed up delivery while maintaining quality.
Work with client-side IT teams to incorporate AI features into existing system environments.
Guarantee that AI outputs are observable, traceable, and auditable.

Strong software engineering background at senior or principal level with deep backend expertise.
Full-stack delivery capability to own features end-to-end, with backend as primary strength.
Hands-on experience delivering AI features in client or product projects, not just research or proofs of concept.
Working knowledge of RAG architectures, prompt engineering, agent tools, and MCP.
Familiarity with knowledge graphs and retrieval systems.
Experience building evaluation frameworks for AI features, including prompt testing, output quality benchmarks, and regression detection.
Proficiency in AI-assisted development: context engineering, spec-driven development, and frameworks like BMAD or Speckit.
Experience with containerization using Docker and cloud-native deployment.
Ability to make technical decisions independently and communicate them clearly.
Fluent English.

Claude Certified Architect – Foundations or equivalent AI platform certification.
Understanding of AI security, governance, and compliance including GDPR and AI Act.
Experience with vector databases and embedding strategies.
Experience designing AI features with cost awareness, such as token optimization, caching strategies, and model selection trade-offs.
Knowledge of observability and monitoring for AI-integrated systems.
Track record of translating technical AI concepts for non-technical stakeholders.

Hybrid — Lithuania

This is a hybrid role based in Lithuania. We work remote-first, with regular in-person collaboration days at our office – this combination is our standard way of working.
We are currently unable to consider candidates living outside of the country.
At Nortal you join small, senior-heavy teams that own their solutions end to end – from the first technical spec to production. Decisions are made by the people doing the work, hierarchy is light, and a good argument beats a job title.
You will work directly with clients in domains like government, healthcare, telecom, and industry, and you will see your code reach real users in a reasonable timeframe.

Nortal is hiring an AI Engineer