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Required Field Engineer in Koln (Germany) - Relocation
The field engineer is the connecting link between us and our customers, the car manufacturer (OEM), and the integration partner (Tier 1). As such, the field engineer provides the first line of technical support, analysis, and integration in the development of next-generation Advanced Driver Assistance Systems.
What will your job look like:
Act as a project manager, leading ongoing activities and manage the ongoing activities onsite
Communicate with the automotive client on exact technical needs, including organizing workshops test drives, and functional tuning.
Anticipate and remove obstacles that slow or prevent teams from delivering objectives.
Work alongside the development teams of a leading international automotive company.
Hold a key role in our development projects providing the customer with direct technical support.
Test performance and quality of the vision system.
Support system integration efforts with deep "bits and bytes" understanding of the entire system.
Provide expert support and training for the customer engineering teams on site.
The position includes office work, support at vehicle production lines and integration facilities.
The position requires a training period of 3-6 months in Jerusalem.

We're looking for a talented software engineer to join our development team. In this role, you'll be responsible for designing, developing, testing, and maintaining advanced software systems, working closely with engineering, product, and QA teams.
Responsibilities:
Develop and maintain complex software applications and systems
Design architecture and write high-quality, efficient, maintainable code
Perform testing, troubleshooting, and bug fixing
Collaborate with cross-functional teams to define requirements and implement solutions
Improve performance and optimize existing systems
Participate in code reviews and implement professional standards
Full-time position, located in Misgav

we are looking for an Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks in Tel Aviv, including wired, wireless, and VPN infrastructure.

Your responsibilities will include:

Work on the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
Build and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
Collaborate with telecom service providers in Israel and globally; lead escalations, manage SLAs, and drive service improvements

Were looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
Youre welcome to work from our office in Prague, Berlin, London or in Amsterdam, hybrid or remotely. 

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

Some directions we currently working on and which you can be a part of:
Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.
Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.



Some directions we are currently working on, and which you can be a part of:

Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We're hiring an exceptional Applied AI Scientist to join our team!
In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.
In This Role, You Will Be Responsible For:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.

We're looking for an Engineering Tech Lead to join the AI Core team and lead the technical direction of one of the core capabilities in AI Platform.
This role combines hands-on development with technical leadership, including architecture design, technical decision-making, mentoring engineers, and close collaboration with Product, Architecture, and cross-functional engineering teams.
This is an opportunity to help shape AI Platform, influence key technical decisions, and build the infrastructure that powers AI capabilities across the company. You'll work on challenging technical problems, collaborate with exceptional engineers, and have a significant impact on the future of AI .
In This Role, You Will Be Responsible For
Provide technical leadership and mentorship to the team.
Design scalable, reliable, and maintainable solutions.
Lead architecture discussions and drive technical decisions.
Conduct design and code reviews to ensure high engineering standards.
Lead end-to-end delivery of complex features and initiatives.
Collaborate closely with Product, Architecture, and other engineering teams.
Drive improvements in system quality, performance, security, and scalability.

We're looking for a hands-on Engineering Manager to lead a team of senior engineers owning this space end-to-end, from integration design through production ownership. You'll have real autonomy, a direct line from your team's work to customer outcomes, and room to shape how a technically deep domain is built and run.
What you'll own:
Lead and grow a team of engineers, creating clarity on priorities, raising the technical bar, and building real domain ownership
Own execution end-to-end: integration architecture, technical design, delivery predictability, and the operational health of systems that sync critical financial data at scale
Drive reliability and data correctness, strong debugging and sound judgment around sync semantics, idempotency, error handling, and recovery, plus calm decision-making when something breaks in production
Make sure your engineers understand the business and the ERPs behind the systems, the financial flows and edge cases, not just the code
Translate business goals and the realities of messy, heterogeneous ERP systems into pragmatic technical plans
Partner closely with Product, Operations, Support, and other engineering teams to deliver integrations that balance customer impact, time-to-value, and quality
Coach engineers through feedback, mentoring, and high standards

we are looking for a Senior Site Reliability Engineer (DevTools)
Your responsibilities will include:

Improving services based on user feedback

Building fault-tolerant, self-healing architecture

Finding ways to speed up our systems and reduce user friction

Modifying well-known closed- and open-source solutions Supporting our users

Ensure fault-tolerance, scale, and uninterrupted operations for the service.
Use cutting-edge cloud technology to solve a variety of infrastructure problems.
Implement and improve CI/CD processes.

We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What Youll Do

Design and build high-performance distributed systems

Design and implement backend infrastructure and API endpoints

Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

Improve performance, monitoring, and reliability across the stack

Own core systems and contribute to key architectural decisions

Help shape a strong engineering culture focused on velocity and quality

As a Software Engineer - Scraping Specialist, youll build the systems that power how AI interacts with the live web. Youll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. Youll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What Youll Do
Build distributed data acquisition systems that capture and structure the live web
Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
Continuously evolve capabilities in resilience, speed, and authenticity of web interaction

Were looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include:

Designing and developing LLM training platform.
Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
Improving job scheduling strategies to minimize resource fragmentation.