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Netcompany

Senior AI Engineer

Netcompany is hiring a Senior AI Engineer in Athens, Greece. Level rates it ; you can apply on Netcompany.

Level's read on this job

  • Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include LlamaIndex, LangGraph and prompt engineering.
  • Level classifies it as a senior role.
  • Level lists 166 other open roles at Netcompany.

AI in this role

llamaindexlanggraph
prompt-engineeringragml-opsai-safety

Are you ready to shape the future technological landscape in Europe?

We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

So, what are the main responsibilities of the Senior AI Engineer in Netcompany?

Joining us as a Senior AI Engineer, you will play a key role in the design, development, and deployment of advanced GenAI and LLM solutions for enterprise clients. You will be hands-on in building production-grade AI systems, contributing to architectural decisions, and ensuring high-quality technical delivery across projects.

This is a highly technical role with strong client exposure. You will collaborate closely with AI Architects, product owners, and client stakeholders to translate business requirements into robust AI implementations. Your focus will be on building scalable, secure, and high-performing AI components that integrate seamlessly into enterprise ecosystems.

You will work across the full lifecycle of AI solutions — from experimentation and prototyping to optimization, deployment, monitoring, and continuous improvement — ensuring that solutions deliver measurable business value.

As the Senior AI Engineer, you will:

  • Design, develop, and deploy end-to-end GenAI and LLM-based applications in enterprise environments.
  • Implement advanced RAG pipelines, orchestration workflows, prompt engineering strategies, and evaluation frameworks.
  • Build scalable backend services and APIs that integrate LLM solutions with enterprise systems (CRM, ERP, data platforms, internal tools).
  • Contribute to architectural design discussions and ensure implementation aligns with defined technical standards.
  • Optimize model performance, latency, and cost efficiency across cloud-based environments.
  • Implement robust testing, evaluation, monitoring, and observability for AI systems in production.
  • Collaborate with cross-functional teams including data engineers, software engineers, DevOps, and business stakeholders.
  • Ensure adherence to security, compliance, and responsible AI practices.
  • Support client workshops, technical demos, and solution presentations when needed.
  • Stay up to date with emerging GenAI frameworks, tools, and best practices, proactively bringing innovation into delivery projects.

What would make you a fit for the role:

  • Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, Engineering, or a related field.
  • 5+ years of experience in AI/ML engineering or software engineering with strong AI exposure, delivering production-grade solutions.
  • Proven hands-on experience with GenAI and LLM solutions, including prompt engineering, RAG architectures, and evaluation techniques.
  • Strong programming skills in Python and experience with modern AI/ML frameworks and libraries.
  • Experience developing and deploying AI systems on cloud platforms (AWS, Azure), including CI/CD and MLOps practices.
  • Solid understanding of APIs, microservices, distributed systems, and scalable backend development.
  • Experience optimizing AI systems for performance, reliability, and cost.
  • Strong problem-solving skills and ability to work in fast-paced, client-driven environments.

It would also be a plus if you match some of the following:

  • Experience in consulting, systems integration, or professional services environments.
  • Familiarity with frameworks such as LlamaIndex, LangGraph, or similar orchestration tools.
  • Experience with LLM monitoring, evaluation frameworks, and AIOps practices.
  • Exposure to AI governance, security, and compliance standards in enterprise settings.
  • Experience working with both commercial and open-source LLMs.

Being a part of the Netcompany team, you will be provided with: 

  • The opportunity to work in a modern environment & in a hybrid working model
  • A seamless onboarding experience and a buddy to support you on your first steps
  • A competitive compensation & benefits package
  • Health and life insurance program
  • Meal and commuting allowance
  • Well-being activities (on premises)
  • Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
  • A personalized development plan for targeted career growth

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you'll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!

Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.

In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/

How we rate this

Senior AI Engineer at Netcompany rates 97 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGML OpsAI SafetyLlamaIndexLangGraph

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you monitor a model once it's live, and how do you know it needs retraining?
  4. How do you think about the risk of an AI system in this kind of role failing silently?
  5. Walk me through how you've used LlamaIndex in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, ML Ops, AI Safety, and LlamaIndex. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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