Senior Software Engineer – AI, Innovation & Prototyping

Digital Science

full-time

Posted on: 9/19/2025

Origin: • 🇩🇪 Germany

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Job Level

Senior

Tech Stack

AWSAzureCloudDynamoDBGoogle Cloud PlatformJavaScriptNode.jsPythonReactRustTerraformTypeScript

About the role

Relentlessly focus on user outcomes: discover real user pain points, test hypotheses with working software, and validate impact with user feedback and data.
Accelerate with AI without compromising quality: use AI-assisted programming and emerging agentic patterns while keeping humans-in-the-loop for correctness, maintainability, and security.
Continuously push the frontier: explore new AI capabilities (agentic concepts, tool-use, planning) and bring pragmatic, production-minded approaches.
User-centered prototyping: work with PM and UX to frame user problems, define success metrics, and rapidly deliver prototypes and small bets for user testing.
AI-assisted development: use tools like Claude Code, Cursor, GitHub Copilot, and OpenAI code models to speed implementation, testing, and refactoring while upholding engineering standards.
Agentic patterns & orchestration: prototype systems that plan, call tools/functions, and collaborate with other agents; evaluate observability, safety, and cost-of-ownership.
Cloud-native delivery: build throwaway-to-keep prototypes on AWS (API Gateway/Lambda/DynamoDB/Fargate, SQS, EventBridge) with CI/CD, preview environments, and fast rollback.
Solid engineering hygiene at speed: establish patterns for testing (including LLM evals), typed APIs, tracing/metrics, and prompt/version management for extendable handover.
Framework fluency: apply AI frameworks (Agents SDK, AI SDK, pydanticAI, LangChain, LlamaIndex) when useful and know when bespoke code is better.
Collaboration & handover: partner with platform, data, and security teams; produce concise docs and runbooks so production teams can scale what works.
Domain awareness: incorporate academic/publishing ecosystem realities (workflows, metadata, IP/licensing) into solution design.
Stay ahead of emerging technologies and methodologies, introducing new approaches that keep the team at the forefront of AI-augmented software engineering.

Requirements

Several years of professional software engineering experience, ideally including full-stack or end-to-end development.
Proven track record in building prototypes, MVPs, or innovative software solutions under tight timelines.
Real-world cloud experience (AWS preferred) and CI/CD for rapid, reliable deployments.
Demonstrated expertise in using AI coding assistants (e.g., GitHub Copilot, ChatGPT, or similar tools).
Solid experience with modern programming languages and frameworks (e.g., JavaScript/TypeScript, Python, Rust, React, Node.js).
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and CI/CD pipelines.
Advanced software development skills balancing speed and quality.
Strong creative, curious, and experimental mindset; comfortable exploring new tools and approaches.
Excellent problem-solving, analytical, and critical-thinking skills.
Strong collaboration and communication skills across technical and non-technical stakeholders.
Self-motivated and passionate about staying up-to-date with cutting-edge technologies, especially in the AI space.
Fluent in spoken and written English.
Please note: must reside in one of the following locations: UK, Spain, Germany, Romania (applications from outside these areas will not be considered).
Nice to have: Familiarity with academic/publishing workflows and data models.
Nice to have: Experience with infrastructure as code (Terraform/CDK), vector databases, feature flags/A-B testing, and LLM observability/guardrails.

Senior Software Engineer – AI, Innovation & Prototyping

Job Level

Tech Stack

About the role

Requirements

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