Founding Software Engineer
14 days ago
City of London
Founding Software Engineer 📍 Hybrid — London/Athens 🕒 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 🛠 Deep technical challenges, exposure to the latest AI developments 💬 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 with your CV, GitHub, or just a note on why this role excites you. 🚀