Solution Architect Agentic Solutions (Switzerland Germany)

Who Are We

At were building an agentic AI platform that scales expert-level domain knowledge across entire organizations.

For more than a decade weve worked at the intersection of scientific research industrial data and applied AI helping researchers engineers and business teams reason over complex technical knowledge.

Our products - Neuralith Axion and RSpace - span the full GenAI lifecycle:

• Data ingestion across text tables figures and technical formats
• Advanced RAG and indexing pipelines
• Agentic orchestration and reasoning
• Rigorous LLM evaluation and governance

What makes us different: we care deeply about accuracy evaluation and responsibility. We dont optimize for demos and proof-of-concepts we optimize for systems that experts trust and use.

The Role

As a Solution Architect at youll join a remote-first AI-native team focused on building production-ready systems powered by RAG LLMs and AI agents. You will play a pivotal role in shaping next-generation AI Agents that bring context-awareness accuracy and complex reasoning to real-world problems. You will work alongside our commercial product and development teams to design prototype and deploy intelligent systems - leveraging our Neuralith Axion and RSpace products. Your focus will be to help leading Enterprise organizations find ways to apply technologies to reach value generation in the shortest path possible.

What Youll Do

• Design end-to-end Agentic solutions based on products for our Enterprise clients: design modular pipelines that combine Data Ingestion RAG LLM evaluation and autonomous decision-making into cohesive workflows that bring direct value to the client.
• Rapid prototyping - rapidly spin up proof-of-concepts run benchmarks on accuracy and reasoning performance and iterate based on real-world data with the client.
• Integration and deployment - You will collaborate with the Tech team to deliver orchestrate and monitor AI Agents in production environments.
• Engage in sessions with the Client - You will translate customer requirements into technical designs run technical sessions with the Client and provide best-practice guidance for AI adoption.
• Collaborate in a cross-dimensional team. Work closely with sales managers product managers engineers designers and researchers to align architecture with product vision and user needs.
• Drive innovation by testing new approaches with the Clients and bringing new ideas to the product team.
• Focus client systems on performance and reliability ensuring they are scalable testable and maintainable
• Thrive in a remote-first agile environment contributing meaningfully within a distributed deep-tech team
• Keep learning always well support you with space mentorship and resources to grow as an AI engineer

Our Tech Stack

• Rapid prototyping tools (AI-Assisted Coding - Windsurf Cursor Flowise Lovable etc.)
• Cloud & Infrastructure (AWS/GCP/Azure Kubernetes Docker Terraform)
• Retrieval-Augmented Generation (RAG) pipelines (ChromaDB SentenceEmbeddings LLMs )
• AI Agent frameworks (Autogen)
• Machine Learning stacks (PyTorch TensorFlow etc.)
• Backend & APIs (Python Django etc.)
• Git & CI / CD

What Were Looking For

• 5 years in client facing product oriented jobs - ideally in AI/ML or data-driven platforms.
• Deep understanding of LLMs & RAG - 1 year hands-on experience (prompt engineering / retrieval pipelines / evaluation metrics )
• Strong software engineering skills: profficeint in Python API design and microservices
• Cloud proficiency: designing and operating scalable services on AWS GCP or Azure.
• Solid experience in web development (Django/Flask/REST)
• Excellent communication: able to convey complex technical concepts to both technical and non-technical stakeholders.
• Problem-solver mindset: keen analytical skills resourcefulness and a drive to tackle ambiguous challenges.
• Ability to work in a remote-first collaborative environment
• Proficiency in English

Any Of These Would Be An Advantage

• Advanced degree in Computer Science or related field
• Previous work with LLMs NLP or AI model evaluation
• Certification in cloud computing
• Previous experience with deployment of RAG solutions in scalable production environment
• Open-source contributions academic research or mentoring

Why Join

If you want to do meaningful work and grow in a culture built on trust rigor and fairness lets talk.

Were not your typical tech company. We believe in:

• Real transparency information is shared context is open and questions are welcome.
• Fairness designed in policies opportunities and growth are aligned across countries and teams.
• Ownership and empoweredness to make decisions without micromanagement.
• Metrics that guide us but they never replace human thinking or responsibility

Compensation & Ownership

Pay

• Compensation that reflects your value. Our salaries are typically 25% above local market averages ensuring competitive fair pay across regions and roles. And we review it annually.

Equity

• We believe salary helps you get by. Stock options build wealth!
  At all colleagues receive ownership in the company part of our ESOP pool (3%). Because when we grow you grow thats what shared success really means.

(Just imagine: Someone once bought a Tesla option for $1 its worth $400 today.)

Benefits

Weve built our benefits to reflect how we work: with trust fairness and room to grow.

• 30 days paid vacation
• 5 additional days paid vacation for Learning and Development
• Private health insurance (premium coverage) and bi-annual health checks
• Free MultiSport card or Fitness subscription coverage for your physical well-being
• Remote-first & flexible hours work where youre at your best
• Personal annual learning budget for conferences courses or certifications
• Personal equipment budget to choose the gear that suits your style
• Charity and volunteer activities
• Seasonal working camps (summer & winter) and team retreats
• Ongoing growth through weekly tech deep dives mentorship pair coding and knowledge-sharing

Lets Build the Future of Responsible AI

If you care about building high-quality ethical AI guided by data and human judgment youll feel at home at .

Apply now or reach out with questions. Were transparent by default.