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Jobs / Maintenance Technician in United States of America
1 month ago
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Sares-regis·1 month ago
1 month ago

Maintenance Technician II

Mountain View, United States of AmericaMid · 2-5 yearsMaintenance Technician

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Top 10% of NextRaise users matched against Maintenance Technician roles in United States.

Must-have skills for this role

  • software engineering
  • backend
  • ai
  • rag

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Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Building and shipping AI-powered features within client delivery projects — from backend services to user-facing interfaces.
  • Designing and implementing RAG pipelines, agent-based workflows, and LLM integrations as part of production applications.
  • Implementing AI guardrails — input/output validation, content filtering, and fallback mechanisms to ensure reliable, safe AI behavior in production.
  • Writing solid, maintainable backend code that serves as the foundation for AI capabilities.
  • Applying AI-assisted development practices — context engineering, spec-driven development — to accelerate delivery without sacrificing quality.
  • Collaborating with client-side IT teams to integrate AI features into existing system landscapes.
  • Ensuring AI outputs are observable, traceable, and auditable.

What they're looking for

  • Strong software engineering background (senior/principal level) with deep backend expertise
  • Full-stack delivery capability — you can own features end-to-end, though backend is your strength
  • Hands-on experience delivering AI features in client or product projects (not just R&D/PoCs)
  • 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 — 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 containerisation (Docker) and cloud-native deployment
  • Ability to make technical decisions independently and communicate them clearly
  • Fluent English

Nice to have

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

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Overview

Nortal is a strategic digital transformation partner for leading companies and governments worldwide. For over 25 years, we have been building solutions that actually change how things work, from creating 40% of Estonia's digital government experiences to driving transformation for Fortune 500 companies and healthcare systems across four continents. We take on the problems that matter and work only on engagements we believe in.Today, we are at the forefront of an AI-driven transformation era, helping organisations turn data into real business value. We combine deep domain expertise with data and AI to design solutions that deliver immediate impact and scale for the future. 

 

We are now looking for an experienced AI Engineer to join our team.  Here, you’ll have the opportunity to work on meaningful, impactful projects, grow your skills, and teach us a thing or two along the way. Responsibilities

  • Building and shipping AI-powered features within client delivery projects — from backend services to user-facing interfaces.
  • Designing and implementing RAG pipelines, agent-based workflows, and LLM integrations as part of production applications.
  • Implementing AI guardrails — input/output validation, content filtering, and fallback mechanisms to ensure reliable, safe AI behavior in production.
  • Writing solid, maintainable backend code that serves as the foundation for AI capabilities. Applying AI-assisted development practices — context engineering, spec-driven development — to accelerate delivery without sacrificing quality.
  • Collaborating with client-side IT teams to integrate AI features into existing system landscapes.
  • Ensuring AI outputs are observable, traceable, and auditable.

 

What you bring

Must-have:

  • Strong software engineering background (senior/principal level) with deep backend expertise
  • Full-stack delivery capability — you can own features end-to-end, though backend is your strength
  • Hands-on experience delivering AI features in client or product projects (not just R&D/PoCs)
  • 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 — 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 containerisation (Docker) and cloud-native deployment
  • Ability to make technical decisions independently and communicate them clearly
  • Fluent English

Nice to have:

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

Salary range: 

  • 5000 – 6250 EUR gross for Senior Level position  
  • 6250 – 7500 EUR gross for Principal Level position

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. 

#LI-hybrid 

Responsibilities

 

 

Company

Sares-regis
Mountain View, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Sares Regis's careers site·first seen 8 Aug 2026·last verified 21 Sept 2026·How we source jobs

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