Founding Software Engineer
📍 Hybrid — London/Athens
đź•’ Full-time | Mid/Senior Level
🚀 Founding Team
About Us
Inferity is transforming how teams search, analyze, and understand frontline video. From hours of unstructured body cam or incident footage to complex multi-source workflows, our AI-driven platform turns video into structured, decision-ready insights.
We’re building AI agents that reason across video, audio, language, and metadata, powering real-world workflows where accuracy, speed, context, and clarity are essential.
The Role
We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From data ingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform.
As part of the founding team, you’ll design and implement system architecture, backend services, and cloud infrastructure, working closely with AI scientists and full stack engineers to deliver a scalable, reliable product.
Why Join Us
🎯 Work on impactful AI that improves safety, trust, service quality and decision-making
🚀 Founding team equity
đź› Deep technical challenges, exposure to the latest AI developments
đź’¬ End-to-end ownership + product influence
🌍 Flexible location (London/Athens hubs)
Key Responsibilities
* Architect and implement the backend platform for data processing, search, and advanced reasoning
* Design scalable systems and APIs for data-intensive, low-latency workflows
* Optimize database interactions for high-speed visual search and reasoning
* Manage cloud infrastructure (compute, networking, storage, security, observability)
* Set up CI/CD pipelines for fast, reliable deployments
* Deploy and integrate AI/ML models into production pipelines
* Take a product-first approach: asking “why,” not just “how”
What You’ll Need
Essential Skills
* Startup Mindset: Bias for action, ownership, comfort with ambiguity
* Backend Development: Python (FastAPI, Flask) + microservices
* Distributed Systems: Scaling high-volume data systems
* Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar)
* Databases: PostgreSQL + strong data modeling
* Containers: Docker; orchestration tools
* Infra as Code: Terraform, CloudFormation
* Monitoring: Prometheus, Grafana, ELK
* Security & Compliance: Data protection and access control
Nice-to-Haves
* AI/ML integration (PyTorch, HF etc.)
* MLOps (MLflow, Kubeflow, SageMaker)
* Vector search (Pinecone, pgvector, Weaviate, Qdrant etc.)
* Video ingestion pipelines & codecs
💡Don’t worry if you haven’t used these exact tools. If you’ve built and scaled similar systems, we’d love to hear from you.
Next Steps
Apply here or email us at jobs@inferity.ai with your CV, GitHub, or just a note on why this role excites you. 🚀