Full-Stack Software Engineer

Full-Stack Software EngineerWe are looking for a Full-Stack Software Engineer who wants to help build the core of our Agentic AI Platform from the ground up. You will turn cutting‑edge AI concepts into real, production‑ready software that scientists and researchers use every day.Your work will span the full stack: from crafting elegant frontends that make complex AI systems feel simple, to designing scalable APIs and backend services that power autonomous agents. You will collaborate closely with ML engineers, product designers, and domain experts to create a platform that connects human expertise with intelligent automation.This is a hands‑on, high‑impact role where you will have real ownership. You will influence key architectural decisions, experiment with new agentic frameworks, and help define what “state‑of‑the‑art” means in the context of trustworthy AI for Life Sciences.If you thrive in fast‑paced environments, care about building things that push boundaries, and want to shape the next generation of intelligent software, we would love to meet you.Day‑to‑Day ResponsibilitiesYour day‑to‑day could look like these:Design and build full‑stack features that bring agentic workflows to life for scientists and researchersImplement orchestration layers, retrieval pipelines, and APIs for intelligent agents using Python and FastAPIDevelop intuitive and performant frontends in React and TypeScript for configuring and monitoring AI agentsCollaborate with ML engineers to connect LLMs, embeddings, and RAG systems into production environmentsBuild and maintain cloud‑native infrastructure with containers, Kubernetes, and CI/CD automationContribute to architectural decisions, SDK design, and developer experience improvementsEnsure reliability, observability, and compliance in production deploymentsHelp shape the engineering culture and best practices as an early member of the platform teamRequirements6+ years of experience designing, building, and shipping full‑stack products in collaborative environmentsProficiency in Python, ReactJS, and TypeScript, with a focus on clean, maintainable, and testable codeExperience with modern backend frameworks such as FastAPI and cloud‑native tools like Docker, Kubernetes, and CI/CD pipelinesSolid understanding of database systems (Postgres, MongoDB, Redis) and how to design scalable, reliable data flowsFamiliarity with agentic frameworks or LLM orchestration tools such as LangChain, LlamaIndex, or AgnoWorking knowledge of RAG systems, embeddings, and knowledge graph conceptsStrong grasp of modern software engineering practices including version control, peer reviews, automated testing, and observabilityAbility to translate business or product requirements into elegant, pragmatic engineering solutionsA collaborative mindset and the curiosity to explore new ideas, technologies, and patternsExperience with secure API design, authentication flows, and cloud deployments (Azure, GCP, or AWS)Enthusiasm for building responsible, human‑centered AI systems that make real impactWe know great engineers come from diverse backgrounds. If you meet most of these points but not all, we encourage you to apply.BenefitsA competitive compensation packageA flexible working culture because your work‑life balance matters to usA position that enables you to have an impact on 1’000s of people, and the whole company’s growth.An international, knowledgeable, and passionate team with a strong collaborative mindsetEmployee Stock Ownership PlanWhy Join UsWork with autonomous agents, orchestration runtimes, and knowledge retrieval systemsBuild technology that transforms how life‑science experts research, decide, and createShape architecture, culture, and direction from the very beginningCollaborate with world‑class engineers and researchers who share a deep passion for AIHybrid setup with high trust, autonomy, and flexibilityCompetitive compensation and the chance to be part of a company defining a new AI category#J-18808-Ljbffr