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AI / ML Engineer

CyberCare B.V.

Job Overview

Location

Kaunas

Job Type

Full-time

Full Job Description

📋 Description

• Shape the future of customer support at global scale: join CyberCare AI Labs and build LLM-powered agents that resolve 11 million+ cases annually across 170 countries. Your code will greet users in milliseconds and turn frustrated chats into delighted “thank-you” moments.
• End-to-end ownership of AI products: from Jupyter notebook ideation to Kubernetes deployment, you will shepherd proof-of-concepts into fault-tolerant, horizontally-scalable services that run 24/7 in multiple languages and time-zones.
• Architect and fine-tune Retrieval-Augmented Generation pipelines that read from 50+ internal knowledge bases, CRM tickets and community forums, then answer with sub-second latency and 95 % factual accuracy. You decide chunking strategies, embedding models, vector indexes and re-rankers.
• Design autonomous agentic systems that can break a complex support ticket into sub-tasks, call external APIs, query SQL warehouses, post updates back to Zendesk and learn from feedback loops—without human intervention.
• Write bullet-proof prompts: craft few-shot templates, chain-of-thought reasoning and JSON-mode instructions that steer GPT-4, Claude, Llama and in-house models to return structured, brand-safe replies in the company tone of voice.
• Establish rigorous evaluation frameworks—unit tests, regression suites, LLM-as-a-judge, A/B shadow mode and human-in-the-loop labeling—to guarantee every model release improves CSAT, First-Contact-Resolution and Average Handle Time.
• Partner with product managers, UX researchers and 500+ frontline agents to discover pain points, annotate data and co-create solutions that reduce repetitive clicks and free human empathy for the cases that matter most.
• Champion MLOps best practices: Git-flow, CI/CD with GitHub Actions, containerised micro-services, Prometheus metrics, Grafana dashboards, automated rollback and canary releases that keep uptime above 99.9 %.
• Stay ahead of the curve: run weekly paper clubs on ArXiv, prototype new transformer architectures, test quantized models for on-prem cost savings, and present findings to an audience that ranges from C-suite to summer interns.
• Mentor junior engineers and data scientists; create internal wikis, brown-bag sessions and code templates that multiply the team’s velocity and bake reproducibility into the culture.
• Influence roadmap and budget: your impact analysis will decide whether we fine-tune a 70-billion-parameter model or stay with clever prompting—saving six-figure cloud costs while delivering better user experience.

🎯 Requirements

• 3+ years of production-grade Python, including async FastAPI or Flask micro-services, pytest, type hints and clean architecture patterns.
• Hands-on experience with Large Language Models—prompt engineering, function calling, fine-tuning (LoRA/QLoRA) and evaluation metrics such as BLEU, ROUGE, BERTScore or custom reward models.
• Solid SQL skills (PostgreSQL, MySQL or BigQuery) and ability to write performant joins across million-row tables for feature extraction and analytics.
• Familiarity with vector databases (Pinecone, Weaviate, PGVector) and building RAG systems that retrieve, rank and generate context-aware answers.
• Comfortable in Linux environments, Docker containers, Git version control and basic DevOps tooling (CI pipelines, Terraform, Helm or similar).
• Nice to have: experience designing autonomous agent frameworks (LangChain, LlamaIndex, AutoGPT), building RESTful APIs at >100 rps scale, or contributing to open-source ML projects.

🏖️ Benefits

• Gross salary 3300–6000 €/month, reviewed twice a year and openly benchmarked against European AI roles—plus stock-option packages for high-impact contributors.
• Hybrid flexibility: work from modern Kaunas office with height-adjustable desks, 4K monitors and silent zones; stay home on Tuesdays & Thursdays; roam the world for up to 30 remote days per year.
• Health & wellness wallet: 1000 € annual allowance you can spend on private health insurance, mental-health therapy, gym memberships, yoga retreats or even ski passes—your body, your choice.
• Tech toy budget: latest MacBook Pro M3, 49-inch ultra-wide monitor, noise-cancelling headphones, and Nord Security & Saily subscriptions for you and your family.

Skills & Technologies

Python

Docker

Git

Linux

REST

Data Science

Remote

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CyberCare B.V.

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About CyberCare B.V.

Dutch managed security services provider delivering 24/7 SOC, incident response, threat hunting, and compliance support to mid-market and enterprise clients across Europe. Combines proprietary automation with human expertise to monitor cloud, on-premise, and hybrid environments, aiming to reduce dwell time and improve cyber resilience. Founded in 2017, headquartered in ’s-Hertogenbosch, Netherlands, and maintains ISO 27001 certification.

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