Senior Software Engineer

Description

• 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 “software engineer” 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 testing with real users.

• AI-assisted development using tools like Claude Code, Cursor, GitHub Copilot, OpenAI code models.

• Prototype agentic patterns & orchestration: systems that plan, call tools/functions, and collaborate with other agents; evaluate observability, safety, and cost-of-ownership.

• Build cloud-native throwaway-to-keep prototypes on AWS (API Gateway/Lambda/DynamoDB/Fargate), SQS, EventBridge with CI/CD for quick deploys, preview environments, and fast rollback.

• Maintain solid engineering hygiene at speed (testing including LLM evals, typed APIs, tracing/metrics, prompt/version management).

• Apply AI frameworks when useful (Agents SDK, AI SDK, pydanticAI, LangChain, LlamaIndex) and choose bespoke code when better.

• Collaborate with platform, data, and security teams; produce concise docs and runbooks for handover to production teams.

• Incorporate academic/publishing ecosystem realities (workflows, metadata, IP/licensing) into solution design.

• Stay ahead of emerging technologies and methodologies, introducing new approaches to 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; 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 location requirement: must reside in one of UK, Spain, Germany, Romania.

Benefits

• We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective.

• Living our Values: We are brave in the pursuit of better; We are collaborative and inclusive; We are always open-minded; We are from and for the community.

• Inclusive workplace and equal opportunity employer: all applicants considered without attention to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

• A workplace where every individual feels valued and belongs.

• Fully remote working (workplace listed as Fully remote).

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