Digital Science

Senior Software Engineer – AI Innovation & Prototyping

Digital Science

full-time

Posted on:

Origin:  • 🇪🇸 Spain

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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 to move fast, while keeping humans-in-the-loop for correctness, maintainability, and security.
  • Continuously push the frontier: explore new AI capabilities (agentic “software engineer” concepts, tool-use, planning) and bring pragmatic, production-minded approaches to the team.
  • User-centered prototyping: work with PM and UX to frame user problems, define success metrics, and rapidly deliver prototypes and small bets that can be tested with real users.
  • AI-assisted development: use tools like Claude Code, Cursor, GitHub Copilot, and OpenAI code models to speed up 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 for quick deploys and fast rollback.
  • Maintain engineering hygiene at speed: establish patterns for testing (including LLM evals), typed APIs, tracing/metrics, and prompt/version management.
  • Framework fluency: apply AI frameworks (Agents SDK, AI SDK, pydanticAI, LangChain, LlamaIndex) and know when bespoke code is better.
  • Collaboration & handover: partner with platform, data, and security teams; produce concise docs and runbooks for production handover.
  • Domain awareness: incorporate academic/publishing workflows, metadata, and IP/licensing realities 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 with the ability to balance speed and quality
  • Strong creative, curious, and experimental mindset
  • 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
  • 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
  • Work authorization/location requirement: must reside in one of UK, Spain, Germany, Romania
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