Senior AI Engineer

Description

ONE ZERO is Israel’s fully digital, branchless private bank-created to bring private-banking level service to a broader public through advanced technology, automation, and AI led by Prof. Amnon Shashua. Building on this mission, we’re developing Ella -our GenAI “banking copilot”-to make money management simpler and more proactive, turning complex financial moments into clear, personalized insights while maintaining the trust, safety, and rigor expected from a regulated bank.

Ella (Tech): A GenAI agent embedded in ONE ZERO’s product flows and banking systems-not a chatbot bolted on-providing 24/7, multilingual help and daily “financial check-ups” that scan accounts and cards to flag anomalies, double charges, and savings opportunities.

Under the hood, we run an agentic, graph-based workflow (stateful orchestration) on top of leading LLMs: intents route through retrieval and verification steps, then into a typed actions/tool layer that can query live banking data and drive in-app workflows.

Why join: A rare chance to ship real, high-impact AI in a high scale production environment-with serious AI/engineering challenges in safety, and reliability, and daily “real-world” edge cases to solve.

Your Day-to-Day

• Build multi-agents and integrate them into product flows.
• Add evals, monitoring, and safety mitigations
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Optimize and fine-tune Generative Agents for performance and scalability.
• Stay up-to-date with the latest industry trends and advancements in Generative AI Industry.
• Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.

Requirements

• 3+ years of hands-on experience integrating GenAI/LLM capabilities into production applications, including strong prompt engineering and prompt optimization techniques - a must.
• Experience with building multi-agents with GenAI libraries and tools, such as LangChain, LangGraph, and Multi-Agent systems.
• Proficiency in Python and LLMs- a must.
• B.Sc/ M.Sc. degree in Computer Science, Software Engineering, or a related technical field - a must.
• AI-native development mindset: ability to use AI across the full software lifecycle (planning/design, implementation, testing, refactoring, maintenance) while keeping high standards for architecture, quality, security, scalability, and reliability.
• Experience developing NLP models at scale, from inception to production, with business impact.
• Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
• Skill set includes software engineering, data infrastructure, and familiarity with RDBMS/NoSQL.
• Strong problem-solving skills with the ability to translate business requirements into scalable technical solutions.
• Exhibit robust problem-solving skills, with the capability to identify business challenges, formulate data-driven hypotheses, and design experiments to test and validate these hypotheses.

Advantages

• Experience building real-time, high-throughput AI applications at scale.
• Classic ML/NLP background, including deploying models at scale.