Senior Software Engineer - Backend & Machine Learning

Raft; London; On-site; GBP 75,000 - 85,000; Full time

Job summary

An established industry player in logistics technology is seeking a Senior Backend Engineer to innovate and enhance their AI-driven platform. In this pivotal role, you will architect robust cloud infrastructure, develop scalable APIs, and integrate advanced AI features that redefine efficiency in freight and customs operations. Join a dynamic team where your expertise will directly impact global logistics solutions, and be part of a culture that celebrates innovation and growth. This is an exciting opportunity to shape the future of logistics technology in a fast-paced, collaborative environment.

Qualifications

• 7+ years in backend development with a focus on Python.
• Experience with scalable databases and AI/ML applications.
• Proficient in building APIs for AI/ML workloads.

Responsibilities

• Architect and maintain scalable cloud infrastructure for AI workloads.
• Design and implement databases and APIs optimized for AI applications.
• Drive technical decision-making and mentor engineering team.

Skills

Python

Backend Development

API Development

Database Design

Cloud Infrastructure

AI/ML

Security Best Practices

Education

Bachelor's Degree in Computer Science or related field

Tools

PostgreSQL

FastAPI

Docker

Kubernetes

Job description

3 weeks ago Be among the first 25 applicants

Raft, an intelligent logistics platform, is revolutionizing the freight and customs industry through automation and advanced technologies. As a fast-scaling, UK-based tech company with global reach, we're pioneering solutions that empower freight forwarders and customs brokers to operate at new levels of efficiency and precision. Fueled by our Series B funding from renowned investors, we're poised for major growth and innovation.

As a Senior Backend Engineer with a focus on LLM/AI at Raft, you'll be instrumental in shaping the architecture and capabilities of our platform to support cutting-edge logistics features powered by AI. This is not a traditional engineering role—it's a high-impact opportunity where you'll design robust cloud infrastructure, develop scalable APIs, and enhance our data pipeline ecosystem to support AI/ML workloads. You will be responsible for creating highly resilient systems, enabling features such as natural language processing, predictive analytics, and real-time decision-making. In addition to building advanced software, you'll play a strategic role in driving technical decision-making and mentoring our growing engineering team. This role is for someone who thrives in a fast-paced, ambitious environment and is ready to make an outsized impact on a product used across the globe.

What You'll Do:

• Architect, build, and maintain scalable, cloud-based infrastructure to support LLM and AI workloads
• Design, implement, and maintain sophisticated databases, APIs, and data pipelines optimized for AI/ML applications
• Integrate LLM and AI models into the Raft platform to power new and innovative features
• Drive the evolution of platform features that require complex engineering solutions powered by AI/ML
• Collaborate across functions to ensure our platform is secure, reliable, and optimized for performance
  
  
  

Requirements

• Brings 7+ years of hands-on experience in backend development with a strong focus on Python, supplemented by experience in other programming languages
• Has deep expertise in designing and maintaining scalable databases (preferably PostgreSQL) and understands the latest trends in database technology, particularly relevant to LLM and AI applications
• Is proficient with FastAPI/Starlette and can demonstrate experience in building scalable APIs with Python for AI/ML applications
• Has a solid track record in multi-cloud environments and understands how to architect and implement software libraries that thrive in distributed, multi-cloud settings
• Can design and implement a sophisticated logging, monitoring, and alerting infrastructure to ensure high availability and quick troubleshooting of AI/ML systems
• Understands and implements best practices in security and data privacy, with a proven ability to secure complex data flows, particularly for LLM/AI applications
• Has extensive experience with containerised tools like Docker, Docker Compose, Kubernetes, Helm, and understands the intricacies of deploying these in production, specifically for LLM/AI workloads.
  
  
  

Apply Because You Want to...

• Join a company on the leading edge of logistics technology, competing with industry giants while leveraging cutting-edge AI/ML and backend engineering
• Work in a product-driven environment where your contributions shape real-world solutions for a global customer base
• Collaborate with stakeholders across industries and continents, gaining unparalleled exposure to the logistics and automation sectors
• Thrive in a high-energy, growth-focused environment that pushes you to expand your technical and strategic skill sets
• Be part of a diverse, inclusive, and multi-cultural team where innovation and continuous improvement are celebrated

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  IT Services and IT Consulting

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