Senior AI Engineer RAG & AI Agents

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 Senior AI Engineer at youll join a remote-first AI-native team focused on building production-ready systems powered by RAG LLMs and AI agents. Youll collaborate with research scientists engineers and product managers to design and deliver AI features that go beyond generation - helping users navigate reason and act on complex knowledge.

Youll work across the full development lifecycle from design to deployment and play a key role in shaping how next-gen AI is evaluated trusted and adopted in real-world workflows.

What Youll Do

• Own the full development lifecycle from idea to architecture implementation testing and delivery of real-world AI products
• Design and build robust AI systems including proprietary Retrieval-Augmented Generation (RAG) pipelines and LLM Evaluation Frameworks used by leading R&D teams
• Drive innovation by testing new approaches and bringing new AI research into production
• Collaborate across teams work closely with researchers product managers and fellow engineers to shape and ship powerful features
• Build systems for performance and reliability ensuring they are scalable testable and maintainable
• Contribute to a global mission to transform how the world interacts with scientific knowledge and applied AI
• 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

• Python & Django
• Relational databases (PostgreSQL)
• Non-relational and vector databases (Elasticsearch / OpenSearch ChromaDB Couchbase)
• AI / ML / NLP libraries (Gensim Torch Transformers spaCy Autogen etc.)
• Cloud (AWS)
• GenAI tools (Windsurf Cursor Amazon Q Claude and other)
• Git & CI / CD

What Were Looking For

• 5 years in software development including 3 years with Python
• Solid experience in web backends (Django/Flask) REST APIs databases and cloud infrastructure
• Familiarity with ML systems or motivation to learn in depth
• 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
• Experience contributing to or using RAG systems in production
• 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 empowerment 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.