Full-Stack Software Engineer (Agentic AI)
Visium SA
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Job summary
Qualifications
- 6+ years of experience designing, building, and shipping full‑stack products in collaborative environments.
- Proficiency in Python, ReactJS, and TypeScript, with a focus on clean, maintainable, and testable code.
- Strong grasp of modern software engineering practices including version control, peer reviews, automated testing, and observability.
- Strong understanding of databases and scalable data flows; familiarity with LangChain is a plus.
Responsibilities
- Design and build full‑stack features for scientists and researchers.
- Implement orchestration layers, pipelines, and APIs for intelligent agents.
- Collaborate with ML engineers to connect LLMs and production environments.
- Collaborate with ML engineers to integrate LLMs, embeddings, and RAG systems.
- Build and maintain cloud-native infra with containers, Kubernetes, and CI/CD.
- Contribute to architecture, SDK design, and developer experience.
- Ensure reliability, observability, and compliance in production deployments.
Skills
Tools
Job description
At Visium, we help leading enterprises define their AI strategy, deliver large-scale data transformations, and embed AI across operations to make organizations truly future-proof.
Now we are building something entirely new. A state-of-the‑art Agentic AI Platform designed for the Life Sciences industry, where knowledge, regulation, and innovation intersect. Our platform empowers scientists, clinicians, and innovators to work side by side with autonomous AI agents that reason, retrieve, and act responsibly.
Born from Visium’s deep enterprise AI experience, we combine technical rigor with a startup mindset. Our goal is to shape how regulated industries harness AI with trust, transparency, and human creativity at the core.
This is not just another AI product. It is the foundation for a new category of software that changes how intelligent work happens.
We 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.
Your day‑to‑day could look like these:
- Design and build full‑stack features that bring agentic workflows to life for scientists and researchers
- Implement orchestration layers, retrieval pipelines, and APIs for intelligent agents using Python and FastAPI
- Develop intuitive and performant frontends in React and TypeScript for configuring and monitoring AI agents
- Collaborate with ML engineers to connect LLMs, embeddings, and RAG systems into production environments
- Build and maintain cloud‑native infrastructure with containers, Kubernetes, and CI/CD automation
- Contribute to architectural decisions, SDK design, and developer experience improvements
- Ensure reliability, observability, and compliance in production deployments
- Help shape the engineering culture and best practices as an early member of the platform team
In order to apply, this should be part of your background:
- 6+ years of experience designing, building, and shipping full‑stack products in collaborative environments
- Proficiency in Python, ReactJS, and TypeScript, with a focus on clean, maintainable, and testable code
- Experience with modern backend frameworks such as FastAPI and cloud‑native tools like Docker, Kubernetes, and CI/CD pipelines
- Solid understanding of database systems (Postgres, MongoDB, Redis) and how to design scalable, reliable data flows
- Familiarity with agentic frameworks or LLM orchestration tools such as LangChain, LlamaIndex, or Agno
- Working knowledge of RAG systems, embeddings, and knowledge graph concepts
- Strong grasp of modern software engineering practices including version control, peer reviews, automated testing, and observability
- Ability to translate business or product requirements into elegant, pragmatic engineering solutions
- A collaborative mindset and the curiosity to explore new ideas, technologies, and patterns
- Experience with secure API design, authentication flows, and cloud deployments (Azure, GCP, or AWS)
- Enthusiasm for building responsible, human‑centred AI systems that make real impact
- We know great engineers come from diverse backgrounds. If you meet most of these points but not all, we encourage you to apply.
- A competitive compensation package
- A flexible working culture because your work‑life balance matters to us
- A 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 mindset
- Employee Stock Ownership Plan
- Work with autonomous agents, orchestration runtimes, and knowledge retrieval systems
- Build technology that transforms how life‑science experts research, decide, and create
- Shape architecture, culture, and direction from the very beginning
- Collaborate with world‑class engineers and researchers who share a deep passion for AI
- Hybrid setup with high trust, autonomy, and flexibility
- Competitive compensation and the chance to be part of a company defining a new AI category
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