דרושים » תוכנה » Senior ML Backend Engineer

Required Senior Backend Engineer
Tel Aviv
As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize the way companies understand their customer interactions. We're seeking a Java professional who can leverage their deep knowledge to drive our backend development to new heights.
You will be responsible for:
System Design and Development: Lead the design and implementation of backend services and APIs using Java technologies, ensuring scalability, reliability, and performance.
Problem-Solving: Analyze and solve complex technical challenges across the stack, from architecture to implementation.
Collaboration: Work closely with Product Managers, UX designers, and Frontend Engineers to deliver features that meet user needs and business goals.
Ownership: Take ownership of features throughout their lifecycle, from initial concept to deployment and maintenance.

Were hiring a ML Engineer to accelerate AI-driven innovation across our companys B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across our companys product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.

Responsibilities
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across our companys B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across our companys products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

We are looking for a skilled and highly motivated software engineer to join and play an integral role on the Runtime team, part of the MLOps group. This team is responsible for building high-quality, enterprise-grade deployment and serving infrastructure for classic ML models and LLMs ensuring they are efficiently deployed, monitored, and scaled to handle millions of requests across multiple cloud platforms, including GPU-powered machines.
As a core member of the team, youll tackle meaningful and engaging challenges across a diverse technological stack.
We value creative, fast learners and independent thinkers who are proactive, collaborative, and capable of driving tasks from concept to production.
As a Back-End Engineer you will...
Be an integral part of a highly skilled team working to build the leading MLOps platform in the industry.
Maintain and evolve the Runtime teams products, ensuring their reliability and scalability.
Design and develop a complete hosting system that supports various types of inference, analytics, monitoring, distribution, and more enabling customers to run large-scale real-time, batch, and streaming ML pipelines.
Play a key role in shaping our cross-company engineering culture.
Conduct high-quality design reviews with a strong emphasis on scalability, maintainability, security, and sound use of design patterns.
Write maintainable, well-tested code in multiple programming languages.
Continuously improve the efficiency, scalability, and stability of critical system components.

We are looking for an experienced AI/ML Engineer to join our Applications team within our platform engineering group. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model deployment both in cloud environments and on-premises using GPUs and CUDA. Youll optimize and implement ML models, workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy ML models, AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust ML pipelines and systems.
Deploy models on cloud and on-premises GPU servers.
Optimize system performance, including model inference, scalability, and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

Were looking for a Senior Software Engineer to join our ML Data Group. In this role, youll be at the forefront of building our next-generation data platformfrom the ground up. Youll play a key role in shaping our new data offerings and evolving our existing Feature Store, a core component that helps machine learning teams access and manage large-scale, high-quality datasets with ease and speed.Youll work in a fast-paced, collaborative environment alongside other top-tier engineers and data experts. This is a high-impact opportunity to define architecture, implement best practices, and deliver production-grade solutions that will accelerate ML experimentation and deployment at scale.
As a Senior Software Engineer you will...
Design and implement our new ML data offerings from scratch
Improve and scale the existing Feature Store Data Pipelines for performance, reliability, and usability
Develop efficient, scalable data storage solutions for datasets and features
Build robust APIs and services to manage the full lifecycle of datasets and featuresincluding versioning and access control
Ensure data integrity, security, and validation across our platforms
Define and uphold engineering best practices in data management and software development
Collaborate cross-functionally with product, ML, and platform teams
Mentor junior engineers and help shape our engineering culture.

We are looking for an experienced Software Engineer with GenAI/ML knowledge to join our AI/ML Applications team. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and GenAI pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model/agent deployment both in cloud environments and on-premise. Youll optimize and implement workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust GenAI systems.
Optimize system performance, including robustness, scalability, communication protocols and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

Required Principal Backend Engineer, Platform Foundations
What Youll Do:
Youll be part of the group responsible for our 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 our 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.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

We are seeking a talented Backend Engineer to help bring advanced AI/ML features to our travel and expense management platform. This position is perfect for a strong backend developer whos excited to work with the latest AI/ML technologies in a fast-moving, cross-functional environment.
About the Position
As a Backend Engineer, youll design and build high-performance backend systems that enable large language models (LLMs), retrieval-augmented generation (RAG), and conversational assistants in our consumer products. You will collaborate closely with experts in AI/LLM and product teams to translate concepts into robust, scalable solutions for our end users.
What Youll Do:
Build and maintain scalable backend APIs and microservices supporting AI/LLM-powered features
Connect backend systems to AI/LLM services and platforms
Work with AI/LLM specialists to deliver production-ready, machine learning-driven functionality
Ensure all systems are reliable, high-performing, and secure
Partner with product and engineering teams to define requirements and deliver innovative features.