Founding AI Engineer position at Grand focused on building and managing AI systems and ensuring their safe operations. Collaborate closely with founders and other teams in a hybrid work environment.
About the role
- AI Engineer building real-world AI systems for Calibrax AI. Delivering end-to-end AI solutions, including model development and infrastructure management.
Responsibilities
- Calibrax AI delivers end-to-end AI solutions, from strategy and model development to deployment, integration, and long-term optimization.
- Our engineers build the systems that make AI actually work at scale: pipelines, APIs, integrations, and the infrastructure that keeps everything running.
- We work across a diverse range of clients and enterprises, in environments where reliability and performance are not optional.
- You will take models from experimentation to production and build the tooling that supports them.
Requirements
- You write code that other engineers respect, clean, tested, and designed with the next person in mind.
- You understand ML well enough to work closely with data scientists, translate their requirements into reliable systems, and improve the infrastructure around their models without breaking what works.
- You're a builder. Whether it's an API wrapper around a fine-tuned LLM, a real-time feature pipeline, or an MLOps workflow that cuts retraining time in half, you like shipping things and you like doing it well. You care about observability, performance, and maintainability in equal measure.
- You're curious about what's next. LLMs, vector search, agentic systems, you follow where the field is going and you're eager to get your hands on what's emerging.
Benefits
- 3+ years of software engineering experience, with at least 1 year working on ML or AI systems
- Strong proficiency in Python; experience with FastAPI, Flask, or similar for API development
- Experience building and maintaining data pipelines and ETL workflows
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes)
- Familiarity with MLOps practices: experiment tracking, model versioning, CI/CD for ML
- Experience working with LLMs, API integration, prompt management, RAG pipelines, or fine-tuning
- Strong understanding of software engineering fundamentals: testing, version control, code review
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
AI Engineer designing AI - powered document processing systems for real estate transactions at myAbode. Leading architecture strategy and mentoring engineers in a fast - paced environment.
AI Engineer at Ledge developing AI - driven solutions for automated financial processes. Responsible for AI system ownership, evolution, and collaboration with finance teams.
Senior Prompt Engineer designing AI systems and LLM pipelines to integrate into products at HyperFi. Collaborating with engineers to construct RAG systems and improve workflows.
Senior AI Engineer leading the design and implementation of generative AI solutions at Exacaster. Working on challenging analytical projects with a focus on business impact in Vilnius.
Senior Data & AI Leader at EXL defining and executing enterprise - wide data and AI strategy. Overseeing initiatives while fostering a high - performance culture across data, analytics, and AI teams.
Werkstudent AI Engineering role developing AI features for SCOUTASTIC's scouting platform used by professional football clubs. Involves prototyping, integration, and using advanced AI development tools.
Senior AI Engineer building AI - powered capabilities into Noibu's ecommerce analytics platform. Focused on production AI systems, workflows, and team collaborations.
Senior Manager, Data & AI Engineer leading data & AI engineering capabilities for AI Transformation programs across projects in China. Collaborating with global teams to enhance data governance and product delivery.
AI Engineer focused on building data platforms and solutions for analytics at PRODYNA. Collaborating with Data Architects and ML Engineers in a hybrid working model in Athens, Greece.