Digital Science

Senior Software Engineer – AI Innovation and Prototyping

Digital Science

full-time

Posted on:

Origin:  • 🇷🇴 Romania

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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 (e.g., API Gateway/Lambda/DynamoDB/Fargate), SQS, EventBridge with CI/CD for quick deploys, 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 so prototypes are easy to extend or hand over.
  • Framework fluency: apply AI frameworks when useful: Agents SDK, AI SDK, pydanticAI, LangChain, LlamaIndex; know when simple 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 the realities of the academic/publishing ecosystem (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) as part of the development workflow.
  • 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 to enable fast, reliable deployment.
  • Advanced software development skills with the ability to balance speed and quality.
  • Strong creative, curious, and experimental mindset; comfortable exploring uncharted territory with 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.
  • Nice to have: Familiarity with academic/publishing workflows and data models; experience with infrastructure as code (Terraform/CDK), vector databases, feature flags/A-B testing, and LLM observability/guardrails.
  • Please note - due to business need, we can only accept applications from candidates who reside in the following locations where we have established legal entities (UK, Spain, Germany, Romania).
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