Software Engineer; Risk

Position: Software Engineer (Risk)
Location: Greater London

Join to apply for the Software Engineer (Risk) role at Signal AI.

We're on a mission to change the way businesses make decisions with our cutting‑edge AI technology. To achieve that, we’re looking for passionate people to join our open and unconventional workplace.

About Signal AI

Signal AI is the External Intelligence company helping business leaders make sense of the outside world. Our platform transforms external data from traditional news and social media across 226 markets and 75 languages, providing companies with actionable insights designed to navigate enterprise risk, strengthen reputation, and fuel growth.

Our platform ingests diverse content from 5.4 M+ documents and posts per day from more than 220 000 sources across published media, social media, podcasts, broadcast, and regulatory content. Our proprietary AI engine, AIQ, processes this vast amount of unstructured data in near real‑time, turning it into actionable intelligence, enabling strategic and bold decision‑making.

Our unique approach, underpinned by a blend of generative and discriminative technologies, ensures businesses receive data‑driven insights that are both actionable and rigorously factual, setting a new benchmark for AI's role in strategic decision‑making.

The Role

We're seeking a Software Engineer to join our growing engineering team and help us continue building world‑class AI‑powered solutions  a solid individual contributor, you'll work on complex features that directly impact how global enterprises understand and respond to their external environment.

What You'll Be Doing Delivering Impact Through Quality Software

• Contributing towards features, while guiding them from conception to production, ensuring they meet our high standards for quality, reliability, and performance
• Writing clean, readable, and maintainable code that can be easily understood and extended by your teammates and your future self
• Building robust observability into your solutions through comprehensive logging, tracing, and metrics that enable rapid issue diagnosis and root cause identification
• Contributing to the breakdown of complex problems into manageable, deliverable tasks

Building at Scale

• Working with services that process millions of documents daily across hundreds of markets and languages
• Designing and implementing APIs that are performant, secure, and developer‑friendly
• Optimising database queries and data models for systems handling large volumes of real‑time data
• Understanding distributed systems principles to build resilient, scalable solutions

Collaborating to Build Better Solutions

• Working closely with cross‑functional teams, including product managers, designers, and other engineers, to deliver customer value
• Maintaining a product engineering mindset and being comfortable discussing the trade‑offs between one approach and another while keeping our users front and centre
• Participating actively in team ceremonies and contributing to our culture of continuous improvement
• Pair programming with team members to share knowledge and deliver high‑quality solutions
• Clearly articulating technical concepts to both technical and non‑technical stakeholders
• Participating in product and engineering forums, committed to maintaining high standards and sharing knowledge across the wider Product & Technology (P&T) group

Embracing Modern Development Practices

• Staying current with emerging AI‑assisted development tools and practices
• Contributing to team discussions on how to effectively integrate AI tools into our Software Development Life Cycle (SDLC)
• Maintaining a balance between AI assistance and critical thinking to ensure code quality and security

What We're Looking For Technical Skills

• Working with varied technologies and languages, such as Clojure, Python, Typescript, etc.
• Experience with API design and integration, including RESTful services
• Comfortable using different databases (relational and non‑relational) and storage systems, such as Elastic Search, Postgre
  
  SQL, S3, Dynamo
  
  DB, Redis, etc.
• Understanding of distributed systems concepts and microservices architecture
• Experience with cloud platforms (AWS) and infrastructure‑as‑code
• Experience with data pipeline…