Role: AI Engineer

Focus: Anthropic Claude & AI-Powered Application Development

Location: Work from anywhere in Europe

Language Requirement: Fluent English

Contract Duration: MAX 1 YEAR

**
Role Overvie**

wAs an AI Engineer, you are responsible for the design, development, and operationalization of AI-powered solutions built on Anthropic's Claude. Working within cross-functional agile teams, you will architect and implement applications that leverage large language models (LLMs) to solve real-world business problems. Your work spans the full development lifecycle — from translating business requirements into prompt strategies and system architectures, through to deployment, monitoring, and continuous improvement of AI systems in production. You will take end-to-end ownership of AI features and be a key contributor to the organization's AI engineering best practices

.
Responsibilities & Tas

ksRequirements & Solution Desi

gnCollaborate with product owners and agile team members to understand business requirements and translate them into AI-driven solutio
nsEvaluate use cases for Claude suitability and design effective prompt architectures, RAG pipelines, and agentic workflo

ws
Prompt Engineering & Model Integrat

ionDesign, implement, and iterate on prompts and system instructions to achieve reliable, high-quality model outp
utsDevelop and maintain integrations with the Claude API, including multi-turn conversations, tool use, and structured output generat
ionApply advanced prompting techniques such as chain-of-thought reasoning, few-shot learning, and context management strateg

ies
Application Develop

mentBuild production-grade AI applications and services (REST APIs, backend services, AI agents) that integrate Claude into existing or new sys
temsImplement retrieval-augmented generation (RAG) architectures, including document ingestion pipelines, vector database management, and semantic se
archDevelop tool-use and function-calling integrations that allow Claude to interact with external systems and
APIsEnsure robustness through error handling, fallback strategies, output validation, and graceful degrada

tion
Quality, Testing & Opera

tionsDesign and implement evaluation frameworks to benchmark model performance, accuracy, and consistency across use
casesWrite unit, integration, and end-to-end tests for AI-powered features, including LLM output validation strat
egiesMonitor deployed AI systems for quality, latency, cost, and safety; implement alerting and observability to
olingContribute to CI/CD pipelines for AI applications, including automated evaluation and regression dete

ction
Safety, Ethics & Gove

rnanceApply responsible AI principles in system design, including safety filtering, bias evaluation, and alignment with Anthropic's usage po
liciesIdentify and mitigate AI-specific risks such as prompt injection, hallucination, and data leakage in production s
ystemsStay current with Anthropic's model updates, safety guidelines, and best practices, and propagate this knowledge within th

e team
General Competence Desc

riptionProfessional with proven expert

ise in:Prompt engineering and LLM application development, including system prompt design, context management, tool use, and multi-turn conversation h
andlingSoftware engineering fundamentals: RESTful API development, clean code practices, version control (Git), and CI/CD pipelines in at least one major language (Python pre
ferred)AI/ML ecosystem familiarity: vector databases, embedding models, RAG architectures, and LLM evaluation fra
meworksResponsible AI: understanding of AI safety concepts, output validation, risk mitigation strategies, and ethical deployment conside

rations
Additional Competence Des

cription5+ years of software engineering experience, with at least 1 year working directly with LLM APIs (Claude, OpenAI, or equivalent) in production settings. Demonstrated ability to take AI features from prototype to production, including performance optimization, monitoring, and iterative improvement. Experience in an agile environment with strong communication skills to bridge technical and non-technical stake

holders.
Nic

e to HaveHands-on experience with Anthropic's Claude API, including use of extended thinking, and the Mes
sages APIFamiliarity with LLM orchestration frameworks such as LangChain, LlamaIndex, o
r similarExperience with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Ku
bernetes)Background in the insurance, finance, or another regulated
industryContributions to open-source AI tooling or published evaluations/b

enchmarks