Senior Backend & Platform Engineer (AI Systems) at ramblr.ai

Dresden, Saxony, Germany -

Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

0.0

Posted On

10 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, PostgreSQL, MongoDB, REST API Design, System Architecture, Distributed Systems, LangChain, LlamaIndex, CI/CD, Data Modeling, Agentic AI Frameworks

Industry

Software Development

Description

ramblr Actionable Insights with Industrial-Grade Video Understanding AI for the Physical World. At Ramblr, we go beyond superficial video analysis to extract deep context from egocentric videos. Our technology provides a comprehensive understanding of actions, individual objects, and their relationships. Prompt Ramblr’s AI assistant to unlock precise insights and pinpoint specific moments in thousands of hours of multimodal videos captured from a first-person perspective. Are you excited to become a Ramblr and join us at the intersection of AI and spatial computing? If so, you can apply directly to the job posting or use the open application form. We look forward to hearing from you ! Job Description We’re looking for a Senior Backend & Platform Engineer who takes ownership of building and evolving our core services. This role is about designing and implementing high-quality backend systems, shaping architecture through hands-on work, and continuously improving how we build, deploy, and operate software. You’ll be a key contributor to system design, API quality, data modeling, and engineering processes—working closely with both backend and AI engineers. What You’ll Do Build and operate high-performance backend services in Python, primarily using FastAPI Design and implement clean, scalable REST APIs and service interfaces Design, operate, and optimize data systems using PostgreSQL and MongoDB Develop efficient data models, indexing strategies, and query patterns for large-scale datasets Contribute to the evolution of our service architecture and system design Design backend systems that support agentic workflows (e.g., orchestration, tool use, memory, state handling) Integrate and operationalize agent frameworks (e.g., LangChain, LlamaIndex, or similar) into production systems Improve engineering processes (CI/CD, testing, code quality, release workflows) Ensure services are reliable, observable, and scalable in production Own services end-to-end—from design to deployment and operation Your profile Qualifications: Strong professional experience with Python backend development Familiarity with async Python and performance optimization in FastAPI Solid expertise in database design and data modeling, especially: Strong understanding of API design, service boundaries, and system architecture Experience with distributed systems or microservices Familiarity with agentic AI frameworks Understanding of stateful AI workflows, tool integration, and orchestration patterns Nice to Have Experience deploying and scaling LLM/VLM-powered, self-hosted ML models and/or agent-based systems in production, preferable experience with KubeRay Exposure to vector databases or retrieval-augmented systems (RAG) Education B.Sc./M.Sc. in computer science or another quantitaitve science 3+ years of experience Fluent in English Why us? Join a highly motivated team with super smart people in a well-funded, early-stage startup Take part in an incredible journey and participate in our equity incentive plan Become part of an international team of experienced entrepreneurs and deep-learning experts Play a decisive role in shaping a company with a creative working environment and streamlined decision-making Enjoy full responsibility for your tasks and your work area Come have fun with us, learn from your mistakes and bring good vibes! About us Founded by experienced tech entrepreneurs and deep-learning scientists with proven track records, we have embarked on a mission to bring AI to the physical world and unlock next-gen intelligent AR/XR devices.

Responsibilities

Design and implement high-performance backend services and scalable REST APIs using Python and FastAPI. Develop data models and integrate agentic AI frameworks to support complex orchestration and state handling.