About Axiovia Technologies
Enterprise AI for engineering-intensive industries.
Axiovia Technologies builds enterprise-grade AI solutions that help process and manufacturing industries unlock the value trapped in engineering data and industrial operations. Our platform combines visual and language AI to support engineering-document digitization, asset intelligence, operational safety and related industrial workflows.
Lead the platform from architecture to production.
You will architect and deliver the AI-powered features and backend platform behind Axiovia's products while mentoring engineers and guiding execution. Reporting to the CTO, you will own complex problems from concept to production, shape the technical roadmap and set the standard for engineering quality.
The work
Key responsibilities
- Architect, build and ship scalable AI-driven features and services from concept through deployment.
- Remain fully hands-on in design, coding and code review while guiding team planning and execution.
- Design, train, fine-tune and evaluate machine learning and language models, tracking accuracy, latency and production cost.
- Build and optimize RAG pipelines, vector retrieval and agentic workflows using LLM APIs and orchestration frameworks.
- Integrate AI components with enterprise data platforms, databases and APIs, and design data pipelines at scale.
- Design robust REST APIs and backend services with performance, security and backward compatibility in mind.
- Own CI/CD, cloud deployment and observability practices for reliable production systems.
- Mentor engineers through code reviews, technical guidance and knowledge sharing.
- Translate product requirements, user feedback and company priorities into a clear technical roadmap.
- Evaluate new AI tools, models and frameworks and champion well-tested, documented and maintainable code.
Required
Qualifications and experience
- BS or MS in Computer Science, Engineering or a related field, with 7–10 years of hands-on enterprise software experience.
- Strong Python expertise and experience with Django, Django REST Framework, FastAPI or Flask.
- Deep knowledge of SQL and NoSQL databases, data structures, algorithms and software design.
- Production experience with modern AI tools, LLM APIs, prompt engineering, model training and fine-tuning using technologies such as PyTorch, Hugging Face or LoRA/PEFT.
- Demonstrated experience building RAG pipelines, vector databases and agentic workflows in production.
- Experience integrating AI solutions with enterprise data platforms and building data pipelines.
- Expertise in cloud and container architectures on AWS, GCP or Azure, including Docker, Kubernetes and CI/CD.
- At least three years leading a development team while remaining hands-on.
- Excellent communication skills in an English-speaking, cross-functional environment.
Preferred
Additional experience
- Experience with React, TypeScript and full-stack product delivery.
- Experience in industrial software, IoT, engineering-document AI or large-scale data visualization.
- Experience in a SaaS product environment, MLOps, agent frameworks or experiment-tracking practices.
How you work
Candidate profile
- A builder-leader who codes regularly, owns outcomes and leads through technical depth.
- Proactive and user-focused, with a strong standard for product and engineering quality.
- Skilled at prioritizing for impact and comfortable learning new tools quickly.
- Collaborative and effective in a fast-moving startup environment.
The opportunity
What we offer
- Competitive compensation aligned with experience, with performance-based rewards.
- Career growth through technical leadership and product innovation.
- Direct collaboration with the CTO on architecture and roadmap decisions.
- A flexible, remote-friendly work environment.
- Access to modern AI tools and the opportunity to shape an industrial AI platform.