לוח משרות דרושים מתכנת Python בתל אביב יפו

We are seeking an experienced LLM & Agentic Systems Engineer to join our AI squad at our company. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work. You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms. You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Python
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliabililty, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.) Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques Define and refine best practices for GenAI system development and deployment Contribute to internal accelerators, methodologies, and knowledge sharing.

We are looking for a Senior Full Stack Engineer (Front- End Oriented) to join our innovative team. In this role, you will lead the development of user-centric, cutting-edge interfaces that empower clinicians and improve the effectiveness of behavioral health care. If you thrive in building complex, scalable, and beautiful frontend systems, this role is for you.

What are we looking for? You are a highly experienced frontend engineer with extensive expertise in React and modern frontend development practices. You have a proven track record of delivering scalable and maintainable user interfaces. You are passionate about UX/UI design and have the technical ability to bring those designs to life seamlessly.

How will you contribute?
Lead the design and development of complex frontend features and interfaces.
Collaborate closely with product managers and UX designers to create user-friendly solutions.
Optimize frontend performance to ensure fast and reliable applications.
Drive best practices in code quality, testing, and documentation.
Mentor junior engineers and contribute to the growth of the team.

We are looking for a Senior Full Stack Developer to join our engineering team. You will focus on developing and maintaining the server-side logic and infrastructure that power our innovative applications.

Who are you?
You are an experienced Full Stack Developer with strong expertise in Django (Python) or Node.js (JavaScript). You are passionate about building scalable, secure, and efficient backend systems. You thrive on solving complex problems and contributing to cutting-edge projects.

How will you contribute?

Develop and maintain complex full-stack applications, focusing on React for the frontend and Python/Django (or Node.js) for the backend.
Provide technical leadership, including architectural decision-making, technology selection, and guiding other engineers.
Design and implement RESTful APIs and integrations with external systems.
Work with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB).
Collaborate closely with Product, Design, and QA teams to deliver high-quality features on time.

The Backend Infrastructure team is on a mission to build the reliable, scalable, and efficient foundations that power . We focus on enhancing Developer Experience (DevEx) by providing robust tools, setting engineering best practices, and owning core services like authentication, data pipelines, and CI/CD. We ensure the platform can grow reliably by working in close collaboration with DevOps and all development teams. As a senior member of this team, youll be pivotal in shaping the technical backbone that supports our entire engineering organization.

We are looking for a Quantum software Engineer to work closely with customers to design, optimize, and troubleshoot advanced quantum control workflows on real quantum hardware. In this role, you will serve as a technical bridge between customer use cases, experimental requirements, and robust software solutions, ensuring customers successfully deploy and scale quantum experiments using Quantum Machines platform.
This position combines strong software engineering practices with hands-on experimental intuition. You will translate complex quantum workflows into reliable, maintainable, and customer-ready solutions, while collaborating closely with internal product, R&D, and hardware teams.
Responsibilities:
Work directly with customers to understand experimental goals, constraints, and system architectures
Design, implement, and optimize quantum control workflows tailored to customer applications
Troubleshoot complex software, system-level, and experiment-integration issues on real quantum hardware
Provide clear technical guidance, best practices, and documentation to enable customer success
Develop and maintain Python-based application code, tools, and reference examples
Contribute to scalable and maintainable software architectures for quantum control systems
Apply solid software engineering practices, including version control, testing, and code review
Collaborate cross-functionally with product, R&D, hardware, and software teams to relay customer feedback
Balance fast, pragmatic solutions that unblock customers with long-term, sustainable engineering improvements.

We are looking for an experienced hands-on Python Engineer who can work independently with remote teams (SW, HW, logic,) and create products that will shape the future of Quantum Computers.
The Quantum Computing SDK is the interface through which our customers run our control system. Customers use it to configure their cutting-edge system and run their ground-breaking experiments. Various institutions from world-class universities to hyper-scalers use the SDK to calibrate their delicate QBits, perform Write and Read Quantum Computing Operations and run programs in higher level Quantum Computing languages like OpenQASM3.
Responsibilities:
Develop the software for the company's Quantum Computing SDK.
Take part in all the technical aspects of the SW development from design to delivery.
Work with high standards of SW methodology, clean-code and CI.

We are looking for a Senior Firmware Verification Engineer to define, develop and maintain verification for our Ethernet switches. This role offers you an excellent opportunity to participate in the development process of our switches and gain a deep understanding in hardware, firmware and software systems in a rapidly growing field.

What youll be doing:

Closely work with SDK/FW R&D Architecture and QA to define, write and implement test plan for out product existing new features.

Be responsible for verification and delivering different Networking features.

Define, develop and maintain verification procedure and reference model infrastructure - make test suites robust.

Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results.

Required Softwere Engineer
A privately held company headquartered in California.
As a Software Engineer, you will be critical to the companys success.
Youll join a team focused on Exposure Management, building a new security product to protect Tier 1 organizations across the globe. This role involves defining and building a robust infrastructure that integrates and correlates multiple data sources to create an accurate view of our customers inventory, while enabling risk prioritization and remediation of critical security gaps. Youll achieve this by collaborating with highly talented engineers.
What you'll do​
Develop ETL frameworks and extensible libs to enable scalable, high-quality solutions
Develop data normalization and complex entity resolution algorithms
Collaborate with architects to optimize data ingestion and persistence pipelines
Help with solving complex customer issues with our product team

As an AI Solutions Engineer, youll partner with enterprise clients to understand their challenges and architect AI-driven solutions using the platform. Youll collaborate with leading data science and ML engineering teams, working alongside experienced practitioners to ensure smooth adoption and measurable business outcomes.

Youll design and deliver proofs of concept, lead workshops, and build compelling demos showcasing the capabilities of for AI evaluation, monitoring, and reliability. Acting as the key interface between our product, research, and customer teams, youll help translate technical requirements into impactful AI solutions.

we are growing and we want you to join us! Have you ever wanted to work with an industry leader? Well, how about an industry creator?! were not just the leader in digital adoption, we started the digital adoption revolution - enabling organizations to measure, drive, and act to ultimately maximize the impact of their digital transformation and accelerate the return on their software investment. And with over 2,000 clients, including more than a third of Fortune 500 companies, working with us on a daily basis, were changing how enterprises interact with their technology.
As an AI Solution Engineer, youll help shape how AI-driven automations are applied across our internal systems. Youll build and operate AI agents and workflows that connect data, tools, and processes, enabling teams across the organization to work more efficiently at scale.
Youll work closely with IT and platform stakeholders, as well as teams across the company, combining AI capabilities with automation tools, APIs, and code to deliver solutions that move from experimentation to reliable, long-term operation.

What will you actually be doing?
Design and develop AI automations, agents, and agentic workflows that automate and augment internal business processes.
Develop and maintain integrations and workflows using tools like n8n, Workato, and other automation or orchestration platforms.
Write JavaScript-based logic (and Python where relevant) to extend low-code/no-code tools, integrate APIs, and orchestrate AI-driven flows.
Build scalable, secure, and reliable automations, including monitoring, logging, and guardrails for AI behavior.
Implement advanced prompting and agent patterns, such as structured outputs, tool/function calling, and RAG.
Optimize workflows using data, telemetry, and feedback to improve reliability, performance, and business impact.
Collaborate closely with the IT team to ensure solutions align with enterprise architecture, security, and compliance standards.
**Engagement will initially be via an employment agency for the first few months, with the possibility of transitioning to direct company employment at a later stage

As a Data Scientist, you will sit at the very core of our company. This isn't just a role about maintaining models-its about transformation. You will be the architect of a "learning machine," turning raw data into usable metrics and developing the statistical algorithms that power our business performance.

You will collaborate with Data Engineers and Product Managers to translate the "voice of the customer" into digital insights that define the industry standard.

Key Responsibilities:
Drive Actionable Insights: Analyze diverse data sources to create insights that directly fuel business growth.
Optimize Performance: Build advanced ML algorithms for bidding-utilizing classification and clustering to maximize campaign performance.
Innovate with GenAI: Leverage Generative AI techniques to query data for intelligent insights and automate decision-making.
Own the Lifecycle: Lead projects from initial exploration and Proof of Concept (POC) to scalable production environments.
Scalability & Performance: Ensure our data pipelines and ML models can handle large-scale, dynamic datasets with high efficiency.
Metric Ownership: Create and own key performance metrics that drive innovative product solutions.

we are looking for a Backend Engineer.
Youll be part of the group responsible for main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer look like:
You will be working on core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.

We are looking for a Senior SecOps Engineer to enhance our security operations and ensure robust protection against sophisticated threats. This role is crucial for maintaining our Security Operations as a high-performing and resilient hub that can quickly adapt to emerging security challenges in the fintech industry. You will take the lead in refining our SOC capabilities by monitoring network traffic, automating processes, analyzing security incidents, managing security tools, and providing expertise to SOC analysts, without having direct management responsibilities.

The Senior SOC Engineer collaborates with cross-functional teams to build defenses, respond to incidents, and design strategies for robust cybersecurity posture.

What you will be doing:
Drive SOC workflow automation using SOAR, and oversee the full lifecycle management (deployment, tuning, operation) of core security tools like EDR aiming to increase automation coverage and consistency.
Lead Cloud Security Monitoring, including managing AWS security logs via SIEM and working with the CSPM team for proactive cloud defense.
Perform continuous Security Monitoring and Threat Detection, building custom queries and dashboards to enhance visibility across platforms.
Develop and execute Proactive Threat Hunting procedures to identify potential risks.
Enhance and coordinate the Incident Response process, working with cross-functional teams through containment, eradication, and post-incident analysis.
Collaborate with third-party vendors for managed security services and specialized tools.

As a Backend Engineer, you will design, build, and scale the core backend systems that power our security platform-directly shaping the safety of millions of Web3 users. Youll work closely with a team of world-class engineers to deliver highly reliable, performant, and secure infrastructure.

Your Chain of Impact:

Lead feature development end-to-end, from requirements to production.
Build systems that protect millions of users from fraud, scams, and hacks.
Contribute across the full software development lifecycle in an agile environment.
Drive technical innovation by staying ahead of emerging technologies.
Uphold the highest standards of code quality, scalability, and performance.
Take true ownership of our product, tech stack, and development processes.

we are looking for a Software Engineer Team Leader.
Responsibilities:
Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides mentoring to others to set an example of software systems design and development innovation and excellence.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.