Cto
Tel Aviv-Yafo, Tel Aviv District, IL
FrontStory
FrontStory's brilliant team of worldwide talents is busy 24/7 with gathering the best stories out there, in real-time, creating highly engageable content and delivering it to mass audiences.Description
We are a venture-backed startup on a fast track to launch deeply personalized multi-modal AI agents (voice / text / image / video) that keep users engaged for well over an hour per session.
Our entry wedge is the AI-Girlfriend vertical. If that focus makes you uncomfortable, please do not apply.
You will join at an early inflection point, shape the technical vision hands-on, and build the engineering organisation from the ground up while serving as the technical voice in all senior-leadership forums.
Responsibilities
- Deliver the full production stack powering our AI agents (APIs, ML pipelines, real-time voice & media streaming, high-risk payment flows).
- Make final calls on infra, languages, data stores, GPU/accelerator strategy, and multi-region deployment.
- Convert cutting-edge LLM and Generative-AI research into stable, scalable features (RAG, LoRA/PEFT, RLHF).
- Recruit, mentor, and performance-manage an offshore team (back-end, ML, DevOps, QA).
- Drive internal hack-days, open-source contributions, and continuous learning across the whole business.
- Implement Agile (Scrum/Kanban) and act as the bridge between product, business, and engineering—bringing the voice, needs, and challenges of R&D into every exec discussion.
Requirements
- 10 + yrs building & leading back-end engineering and DevOps organisations.
- Proven track record delivering low-latency, micro-service architectures at scale (Go, Python, Node, or similar).
- 4 + yrs owning cloud & Kubernetes stacks (EKS/GKE, Terraform, GitOps/Argo).
- Demonstrated success hiring and managing distributed / offshore teams.
- Excellent communicator who can translate between business OKRs and technical sprint plans.
Strong Advantages
- Hands-on delivery of AI-agent products; AI-Girlfriend or companion apps = huge plus.
- End-to-end deployment of RLHF or RAG pipelines.
- Experience selling or integrating deep-tech products into large enterprises (shows you can meet high compliance bars).
- Open-source maintainer or significant contributor.
- Hebrew fluency.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture DevOps Engineering GPU Kanban Kubernetes LLMs LoRA Machine Learning OKR Open Source Pipelines Python R RAG R&D Research RLHF Scrum Streaming Terraform
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