Staff Engineer, Python - (Logistics, AI Autopilot)
Staff Engineer, Python - (Logistics, AI Autopilot)
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Job Description
We are on the lookout for a Staff Engineer (Python ML) to join the AI Autopilot team in Logistics on our journey to always deliver amazing experiences.
In our Logistics Team youll tackle high-impact challenges that make last-mile delivery efficient affordable and sustainable. Your work will directly improve experiences for riders end customers merchants and support agents across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations supporting expansion into new areas like grocery and retail.
We are committed to automate the daily work of support agents providing customers a great support experience while making sure our human agents can focus on the harder problems. Our internal Agent Copilot guides our human agents with step-by-step instructions based on standard procedures and leverages LLMs to automatically interpret relevant customer details shared during job is to take this to the next level: Virtual Agents. These new tools and services are essential to automating 85% of customer service flows enabling full conversation and issue resolution through advanced AIdriving millions in cost savings.
Work on our hardest problems building a high quality architecturally sound artificial support agent with human-like traits.
Assist tribe/domain leads to set the technical vision and strategy.
Be a leader and a model setting high standards for engineering excellence performance scalability and security by example and mentorship
Design and develop the architecture for features that improve the quality of automated chats covering various problem spaces such as natural language understanding conversational flow & engagement or handling errors & uncertainty in human language.
Help our squads to implement and maintain scalable and reliable backend systems integrating with major third-party AI solutions or self-hosted solutions.
Shape processes and solutions to continuously monitor and optimize system performance. We live devops.
Stay up-to-date with the latest industry trends and technologies in the field of AI and NLP.
Design and guide the implementation of cutting-edge solutions that will transform the customer support industry.
Raise the collective level of expertise within the team focusing on best practices design patterns and system design
Provide the best value for our stakeholders and customers by maintaining alignment with our product vision.
Qualifications :
- A Masters degree in a traditional science subject ideally computer science engineering or information systems from a well-regarded university
Over 10 years of solid professional experience developing production-grade software in Python including 2 years of designing technical architectures to solve complex conversational challenges using LLM technologies.
Thrive in dynamic environments working on cutting edge projects that often come with ambiguity.
Excellent technical leadership skills with the ability to lead discussions with stakeholders - Leadership PM Developers Design teams and more
Demonstrated ability to drive long-term design strategies that span multiple complex projects
Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development
Passionate about crafting simple solutions to complex engineering problems and writing readable maintainable well tested code
Pragmatic and collaborative able to work independently make decisions and take ownership beyond deployment.
Nice to have:
Experience with VertexAI
2 years of specializing in NLP and AI
Familiar with common CI/CD tools like ArgoCD Drone spinnaker.
Familiar with common monitoring / alerting / logging tools such as Grafana Prometheus Datadog distributed tracing
Proficiency in relational & document-oriented(MongoDB Couchbase DynamoDB Elastic Search) databases
Building maintaining & running a high traffic system in a microservice environment with kubernetes.
Familiar with Fast API & pydantic
Additional Information :
Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 Educational Budget Language Courses Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful mind-boosting endorphins: Health Checkups Meditation Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it well help you with it: Employee Share Purchase Plan Sabbatical Bank Public Transportation Ticket Discount Life & Accident Insurance Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers Food Vouchers Corporate Discounts. Courses.
Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!
We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
