Senior AI Platform Engineer (CV & GCP)

Location : Remote (availability to work in the CET timezone)

Who we are

At Jaipur Robotics, we envision a future where data from waste is abundant, driving automation and digital transformation across the waste industry. We’re developing cutting-edge intelligent solutions that are revolutionising operational pipelines for the European waste sector, unlocking efficiencies, and fostering sustainability at scale.

As a fast-growing, VC-backed clean-tech Swiss startup, we’re attracting top talent who are excited to work at the intersection of AI, automation, and environmental impact. Our team is passionate, driven, and on a mission to make a meaningful difference – and we’re looking for a talented, motivated, and experienced Senior AI Platform Engineer to join us. We need someone who thrives in a dynamic startup environment and is ready to take ownership and drive projects forward .

What we offer

Play a leading role in shaping our technical infrastructure and product success as an early, senior engineering hire.

Enjoy an attractive salary and stock options.

Work closely with experienced founders in a dynamic startup environment.

Build and scale cutting-edge AI systems with a direct impact on sustainability.

Significant autonomy and ownership in a core area of the business.

Key Responsibilities

ML Pipeline Development : Design, build, and maintain robust pipelines for processing image and video data, running ML model inferences, and serving results efficiently.

AI / ML Infrastructure : Architect, implement, and manage scalable and reliable infrastructure for data storage, model deployment (CI / CD), and inference serving on cloud platforms (GCP / AWS).

Cross-Team Collaboration : Work closely with frontend and product teams to design and implement backend services and APIs that power responsive, data-driven UI experiences.

Backend Support : Manage databases, implement background task processing and access control.

System Operations : Implement monitoring, logging, and alerting systems; manage secrets securely; ensure system scalability and stability through automated deployments and rollbacks.

Mentorship & Best Practices : Help establish and advocate for MLOps / Platform best practices within the team.

Requirements

5+ years of proven experience in MLOps, AI / ML Infrastructure, Platform Engineering, or a related Backend Engineering role.

Strong programming skills, particularly in Python, and deep experience with ML frameworks.

Extensive hands-on experience with CI / CD practices, containerization (e.g., Docker), and cloud platforms (GCP / AWS).

Proven experience designing and managing data storage solutions (databases, cloud storage) and messaging / queuing systems in production.

Solid understanding and application of software engineering best practices (testing, version control, etc.).

Demonstrable experience building, deploying, and maintaining scalable, production-grade systems.

Ability to work independently, take initiative, own projects end-to-end, and drive them to completion in a fast-paced, evolving startup environment.

Proficiency in English.

Nice to Have

Experience with high-availability systems and real-time data processing.

Familiarity with Infrastructure-as-Code tools.

Mild familiarity with Go (Golang) and / or JavaScript (JS).

Experience scaling systems and processes within a startup environment, ideally seeing growth from Seed or Series A stages.