דרושים » הנדסה » Senior Staff Software Engineer, AI

Required Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team of AI scientists, accountable for creating AI solutions in the fintech industry, who assist in evaluating the risk of lending products.
Responsibilities
Provides guidance and support leadership to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.
Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning.
Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research.

Required Senior Staff Software Engineer
Job Overview
Come join the Data Exchange group as a Software Engineer. You will be developing high volume tools and services that are part of our Data Acquisition Platform. Our Backend teams are responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products. You will utilize your skills to help develop and maintain critical backend systems in cloud environments that are vastly used by both internal and external customers.
Responsibilities
Identify, design and build tools that are focused on tooling work and observability work, ensuring high availability, scalability, and performance of our production systems.
Ensure the highest standards for engineering design, implementation and testing
Collaborate closely with peers, cross-functional teams and business units to define, prioritize, sequence and scope business and functional requirements and drive results forward for us
Accurately scope effort, identify risks and clearly communicate trade-offs with team members and other stakeholders
Be the first level of support and handle incidents, production issues, and alerts.
Investigate production issues and provide valuable insights to the core teams.
Passionate for continuous learning, experimenting and applying cutting edge technology and software paradigms
Pursue and resolve complex or unchartered technical problems and share key learnings
Provide technical leadership and be a role model to software engineers pursuing technical career path in engineering
Stay aware of industry trends and make technology choices and strategic decisions
Mentor engineers on technology, process, people, and product skills.

We are seeking a visionary and hands-on AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses (SMBs) to thrive. In this role, you will play a key part in defining, designing, and building groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.
You will collaborate closely with cross-functional experts in AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.
The ideal candidate is a builder-scientista creative thinker who not only develops novel model architectures and training paradigms but also drives their implementation and validation in real-world applications. Youll have the opportunity to shape the AI foundation that powers transformative products serving millions of customers.
Responsibilities
Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.
Explore novel approaches in large-scale pretraining, fine-tuning, retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.
Build intelligent agents capable of understanding financial data, customer context, and business workflows from bookkeeping and planning to communication and insights generation.
Collaborate with cross-functional teams across AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.
Define technical strategy and roadmap for next-generation agentic systems, driving innovation and excellence across the organization.
Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

Required Principal AI Scientist, Fintech Innovation Architecture
Job Overview
Join an amazing team driving cutting-edge AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Principal role requires an exceptional blend of deep research, architectural mastery, and a powerful innovation mindset to pioneer new capabilities and deliver high-quality, end-to-end AI systems that shape the product direction for the next 510 years.
Responsibilities
System Architecture & Ownership
Own projects from conception to production, collaborating globally with partners to deliver complex projects.
Define the vision and direction for end-to-end solutions, serving as a thought leader on execution that brings immediate value and solves for the long-term vision.
Deliver robust, high-performance AI/ML system designs that meet critical requirements (latency, throughput, cost, maintenance).
Drive cross-functional end-to-end design architecture.
AI/ML Development & Leadership:
Lead the full cycle of big data exploration, including hypothesis formulation, advanced predictive statistical modeling, and algorithm development across complex, large-scale data.
Mentor existing Data Science teams, influence AI-driven product design and strategy with partner architects, and assist in the definition of roles and training needs.
Innovation & Research Strategy
Pioneer innovative Proof of Concepts (POCs) to show the way for where our Fintech products should go over the next 510 years, focusing on high-impact solutions like Explainable AI, Homomorphic Encryption, or advanced Behavioral Analytics.
Apply research to create high-impact solutions and represent the teams innovation to the wider organization.
Act as a Consultative Business Facilitator, exploiting revealed insights and providing entrepreneurial guidance for business stakeholders.

Were building foundational infrastructure to secure AI agents including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
Youll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.
Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.
Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.
Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.
Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.
Write thorough tests and maintain high-quality, well-documented code.
Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.

we are looking for a Senior Software Engineer to join the DevOps Team within the SW Engineering Group in the Algo Department. This role combines software engineering, DevOps, and CI/CD ownership, with a strong focus on creating scalable infrastructure, automation, and AI-powered developer tools (MCPs, LLM-based assistants, smart pipelines). You will be part of the team responsible for enabling fast, reliable, and intelligent development workflows across all Algo teams. Why this role matters we are transforming the way the world drives from safety systems to full autonomy. As part of the DevOps team in the SW Engineering Group, you will shape how engineers build, test, deliver, and interact with code bringing automation, AI, and modern engineering practices into every step of development. If youre a hands-on engineer who loves solving real problems, automating complex flows, and using AI to enhance how developers work this is the place for you.
What your job will look like:
Design, develop, and maintain backend infrastructure and CI/CD systems
Lead DevOps improvements across CI, GitLab pipelines, automation, and delivery processes
Build AI-driven tools and MCPs to optimize code reviews, pipeline insights, and developer productivity
Modernize and refactor legacy components into scalable services
Develop internal APIs and services used by pipelines, bots, IDE extensions, and engineering tools
Collaborate with Algo developers, DevOps engineers, IT, and software teams to deliver efficient and reliable solutions
Ensure best practices in code quality, testing, monitoring, and documentation
Tech stack:
Languages: Python (main), Groovy, TypeScript, React
DevOps & CI/CD: GitLab CI, Jenkins, Docker, Kubernetes, Linux
Cloud & Infrastructure: AWS (EC2/ECS/EKS)
AI & Automation: MCPs, LLM-based workflows, AI copilots, Elastic dashboards
Databases: DynamoDB, PostgreSQL, MySQL, Elasticsearch, Redis
Testing: PyTest, JUnit, Spock
Tools: Git, Jira, Artifactory, Vault.

we are looking for a Senior Software Engineer to join the Secrets Hub group and help evolve our modern, multi-cloud secrets management SaaS platform.
Secrets Hub integrates with AWS, Azure, GCP, and HashiCorp Vault to give organizations a centralized, secure, and seamless way to manage secrets across cloud environments. As a senior engineer, youll join a strong engineering team and contribute to the design, development, and scaling of core product services used by some of the largest enterprises in the world.
This is a hands-on role for someone passionate about solving deep technical problems, writing clean code, and working in a fast-paced, cloud-native environment.
Responsibilities:
Design, implement, and maintain secure and scalable backend services for Secrets Hub.
Collaborate with product managers, architects, and fellow engineers across multiple engineering teams.
Write clean, maintainable code in Python using AWS serverless architecture and AWS CDK.
Participate in system design discussions, architecture reviews, and code reviews.
Take part in the full development lifecycle, including planning, implementation, testing, deployment, and monitoring.
Investigate complex production issues and contribute to continuous improvement of reliability and observability.
Uphold high standards of quality, security, and performance.

we are looking for a senior software engineer to join our team. Our team develops AI agents and infrastructure used across the organization.
In this role, youll be involved in the full lifecycle of software development from creating POCs to supporting systems in production. Some tasks involve research that requires a system understanding, curiosity, and the ability to work independently.
Youll work with large language models (LLMs) from multiple vendors and utilize a wide range of AWS cloud services.

As a Senior Software Engineer you will be using AWS serverless architecture, AWS CDK &Python to design, develop, test, secure & deploy services from planning to production.
Backend development with a strong emphasis on Python and AWS serverless architecture.
End-to-end ownership from requirements gathering and design to development, testing, security, and deployment.
Deep product knowledge understanding how our customers use our applications and optimizing for their needs.
Collaboration with UX experts to deliver an intuitive and seamless user experience.
Cross-functional teamwork working closely with security architects, product managers, and development teams to build high-performance, secure, and scalable services.

We are looking for a talented and experienced R&D Platform Engineer to join our dynamic team. Our organization provides cutting-edge services utilized by both internal company services and external customers. The ideal candidate will be responsible for defining and implementing best practices that can be shared across the company and working on edge technologies on the cloud. This position encompasses all stages of the Software Development Life Cycle (SDLC), including design, development, testing, and ensuring high ROI on deliverables.
Define and implement best practices for the R&D platform.
Collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions.
Work on edge technologies and cloud platforms to enhance our services.
Participate in all phases of the SDLC, including design, development, testing, and deployment.
Ensure high ROI on deliverables by optimizing processes and solutions.
Share knowledge and best practices across the company to promote a culture of continuous improvement.