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AI / GenAI Engineer

Level: Mid or Senior

Apply now

Our Benefits

At Citadele, we’re at the forefront of redefining banking in the Baltics, driving innovation, and creating opportunities for growth. Here’s what awaits you as part of our team:

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Extra Vacation Days

Take time to recharge with four additional vacation days, plus one extra day for volunteering to support the causes that matter most to you.

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Hybrid Work

Enjoy the flexibility to shape your workday, balancing time between home and the office based on your role and responsibilities.

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Flexible Hours

Start your day when it works best for you – whether it’s 8:00 or 9:30, the choice is yours.

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Wellbeing Activities

Your wellbeing is our priority. From yoga and functional training sessions to an in-office massage chair and fruit in the office, our initiatives are designed to help you thrive physically and mentally.

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Continuous Learning

Your growth fuels our success. Last year, our team dedicated 11,100 hours to training and courses, enhancing skills and advancing careers.

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Special Client Offers on Our Products

Already a client or thinking of becoming one? Enjoy special offers on our banking products, including the C prime payment card with no monthly fees.

More about the vacancy

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Explore the role

  • Build, integrate, and fine-tune GenAI and Agentic AI solutions that deliver measurable value.

  • Work closely with cross-functional teams to design and enhance AI-powered features.

  • Refine, optimize, and troubleshoot GenAI systems for performance, scalability, reliability, and cost-efficiency.

  • Help deploy AI / GenAI solutions to production together with our DevOps and QA teams.

  • Track the latest advances in AI, GenAI, and Agentic AI, and help us adopt what’s worth adopting.

  • Monthly salary according to your expertise in a range from 3000 to 5000 EUR gross before taxes.

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Explore the criteria

  • 1+ years (mid) / 3+ years (senior) in AI / ML development with hands-on GenAI and Agentic AI exposure, strong Python, and frameworks such as LangChain, LangGraph, or LlamaIndex.

  • Hands-on experience evaluating and optimizing LLMs from leading AI labs (OpenAI, Anthropic), with solid prompt engineering: few-shot design, tool/function calling, and structured output (JSON schema).

  • Experience building RAG and Graph RAG systems end to end — vector databases (e.g., Azure AI Search), embedding and chunking strategies, hybrid search, and ingestion pipelines.

  • Production mindset: guardrails (input/output validation, PII masking, prompt-injection mitigation), prompt versioning, and cost and latency optimization (caching, model routing/fallback).

  • Working knowledge of Azure as our primary cloud platform (AWS or GCP a plus), Git, CI/CD, containerization, and API integrations, plus confident English.

Does this sound like you?

Apply now and join more than 1300 champions across the Baltics!

Apply now Download job add (PDF)

Apply until: 04.09.2026

Our recruitment process

We want to make sure you know what to expect during the recruitment. In case you will have any questions or doubts, one of our friendly Talent Project Managers will guide you through.

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Application

We usually start the screening process two weeks after the initial job posting. You might not receive any updates during the CV gathering period.

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CV screening

We'll contact you regardless of the outcome. If you haven't received an email, it means that we're still screening candidates.

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Interviews

Depending on the role the interview stage will typically consist of 1-2 rounds with different people like the recruiter, hiring manager and sometimes even the team. We often include a technical task as a part of our recruitment process.

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Decision

We will always share our feedback and decision regarding your recruitment process. If it’s a match, we will do a reference & background check. If all adds up nicely, we will make you an offer, and hope you will join us to create opportunities!

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