Data Platform Engineering Team Leader

חברה בתחום הייטק / חומרה / תוכנה / סייבר

12/07/2026

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Data Platform Engineering Team Leader

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סוג משרה: משרה מלאה

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23/08/2026

Data Platform Engineering Team Leader

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Data Platform Engineering Team Leader
As a Data Platform Engineering Team Leader on the Infrastructure R&D Department in our Tel Aviv office, youll lead the engineering team behind the data platform powering reporting, billing, experimentation, ML training, and revenue optimization.
Youll shape the technical direction of one of our most critical platforms, grow exceptional engineers, and solve complex data infrastructure challenges at massive scale-building systems that are reliable, scalable, and easy to use.

Requirements:
5+ years leading and managing software development teams.
8+ years of software engineering experience with Java or a similar object-oriented language.
Experience building and operating large-scale distributed systems in production, including Kafka, Spark, Linux, and Kubernetes.
Strong understanding of object-oriented design, concurrent programming, SQL, and NoSQL databases.
Experience leading architecture discussions, reviewing code, and driving technical direction across engineering teams.
B.Sc. in Computer Science or equivalent practical experience.
Bonus points if you have:
Experience with dbt, Airflow, StarRocks, or Druid in production.
Experience leveraging AI agents to improve engineering productivity and familiarity with ML data pipelines.

This position is open to all candidates.

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19/08/2026

Data Group Tech Lead, Staff Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an experienced and passionate Data Group Tech Lead, Staff Engineer to join our Data Platform group in TLV. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across our company to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.

Requirements:
8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas
A B.Sc. in Computer Science or a related technical field (or equivalent experience)
Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions
Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines
A deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantage
Proficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions.

This position is open to all candidates.

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30/07/2026

Full-Stack Team Leader

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an experienced Full Stack Team Leader to lead the engineering team behind our Customer Portal-the central platform used by every customer across all of our products. This role reports directly to the VP R&D and combines technical leadership with product ownership, cross-functional collaboration, and execution.

As the engineering leader of the Customer Portal, youll shape one of the companys most strategic products, ensuring customers enjoy a seamless experience throughout their entire journey with us. Youll lead a talented team, drive technical excellence, champion AI adoption, and collaborate closely with stakeholders across Product, Marketing, Customer Success, Support, Sales, and Design to deliver customer-facing capabilities with direct business impact.

Were looking for someone who doesnt wait for direction. You naturally identify opportunities, challenge the status quo, and drive initiatives from idea to execution. You inspire your team through technical leadership, raise the engineering bar, and continuously look for better ways to build products and develop people.

What Youll Do
Lead, mentor, and grow a team of Full Stack Engineers, fostering a culture of ownership, accountability, innovation, and continuous improvement.
Own the technical execution and delivery of the Customer Portal roadmap, serving customers across all our products.
Partner closely with Product Management and business stakeholders to translate strategic objectives into scalable technical solutions.
Collaborate daily with Product, Marketing, Customer Success, Support, Sales, and Design to deliver an outstanding customer experience.
Lead architectural decisions, ensuring the platform remains scalable, secure, maintainable, and ready for future growth.
Drive engineering excellence by establishing high standards for code quality, testing, observability, performance, reliability, and operational excellence.
Champion AI-first engineering practices by driving adoption of AI tools and workflows that improve developer productivity, code quality, and delivery velocity.
Proactively identify opportunities to improve the product, engineering processes, and team effectiveness. Bring ideas, challenge existing approaches, and lead meaningful technical and organizational improvements.
Lead planning, prioritization, estimation, and execution while balancing business priorities with technical investments.
Remove blockers, manage technical risks, and create an environment where the team can consistently deliver high-quality outcomes.
Stay hands-on when needed, contributing to architecture, design, code reviews, and implementation of complex features.

Requirements:
Requirements
3+ years of experience leading software engineering teams.
6+ years of experience as a Full Stack Software Engineer.
Strong hands-on experience with React, Node.js, REST APIs, and modern web application architecture.
Experience building and operating customer-facing SaaS platforms at scale.
Strong understanding of distributed systems, relational and NoSQL databases.
Proven ability to lead complex projects from ideation through production.
Demonstrated track record of driving technical initiatives, leading change, and continuously improving engineering practices.
Passion for leveraging AI throughout the software development lifecycle and leading teams in adopting AI-powered development workflows.
Strong sense of ownership with the ability to independently identify problems, propose solutions, and drive execution.
Excellent communication and stakeholder management skills, with experience working across Engineering, Product, Marketing, Customer Success, Support, and other business functions.
Deep understanding of software architecture, secure coding, modern development practices, CI/CD, and cloud-native applications.
Passion for building high-quality software and establishing a strong engineering quality culture.

This position is open to all candidates.

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8761015

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6 ימים

Data Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, and guide teams in making high-quality architectural decisions that balance delivery speed with long-term sustainability.
This is a hands-on, senior technical leadership role: you will spend most of your time shaping data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.
Collaborate with Product to shape technical feasibility, sequencing, and scope for data-driven roadmap items; communicate complex technical topics in simple language to non-technical stakeholders.
Define and promote data architecture principles, modeling conventions, coding standards, and reusable patterns (shared transformations, libraries, datasets, services) to reduce duplication and technical debt; drive adoption of shared platform capabilities (observability, CI/CD, orchestration, governance, DevOps tooling) across squads.
Ensure data architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, data quality, and incident response; identify areas of high technical debt or architectural risk and lead remediation initiatives; define and track technical KPIs tied to architecture decisions.
Act as a technical mentor for senior engineers and tech leads, fostering a culture of thoughtful design, documentation, and constructive technical debate; lead by influence- help teams make better decisions instead of making every decision for them.

Requirements:
8+ years of experience in software / data engineering, including several years in a senior / staff / architect role designing complex data systems.
Strong experience designing modern data platforms and distributed data architectures (lakehouse/warehouse, batch and streaming/event-driven patterns, robust data APIs).
Experience working with columnar/serialization data formats such as AVRO and Parquet, including schema evolution and storage trade-offs.
Experience with DBT and ELT management tools for building, testing, and maintaining transformation pipelines.
Experience with Apache Airflow (or comparable orchestration tooling) for scheduling and managing data workflows.
Experience working with Databricks (or Snowflake) and medallion architecture (bronze/silver/gold).

This position is open to all candidates.

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8796396

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23/07/2026

Machine Learning Engineering Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Req ID: 20153

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Drive continuous improvement through model retraining, performance monitoring, and optimization.

Develop robust ML and AI solutions that meet business objectives while considering production constraints.

Requirements:
3+ years leading an ML engineering team of a minimum of 4 people in a fast-paced production environment.

Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.

Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).

Strong knowledge in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Causal Inference, scaling ML models, etc.

Experience designing and executing end-to-end solutions for deploying different ML models.

Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Deep understanding of machine learning algorithms, statistical models, and data structures.

Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).

Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.

Excellent English communication skills, both written and verbal.

Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels.

Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators.

This position is open to all candidates.

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03/08/2026

Senior Data Engineer - Data Platform

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for a Senior Data Engineer to help build next-generation data platform - the lakehouse foundation that will power data processing across the entire product. This is not a "write pipelines on top of someone else's platform" role, and it's not a pure infrastructure role either. It's both, deliberately.

You'll own the platform end to end: the infrastructure it runs on (Spark on Kubernetes, Apache Iceberg, AWS Glue, Airflow), the frameworks and tooling that let dozens of other engineers build on it without reinventing the wheel, and the design of the data pipelines themselves. Everything you build becomes leverage for the teams around you - your abstractions, base images, CI/CD flows, and operational patterns are what make the platform usable at scale.

You'll also own one of the hardest ongoing trade-offs in a high-scale data platform: balancing cost and performance. Compute sizing, storage layout, partitioning and compaction strategy, job scheduling - every decision has a price tag and a latency profile, and you'll be the one making those calls with data.

This role is ideal for an engineer who is equally comfortable debugging a Spark executor OOM on Kubernetes at 10am, designing a clean Python framework API at noon, and modeling the cost impact of a table layout change in the afternoon.

What You'll Do

Platform & Infrastructure

- Design, deploy, and operate our Spark-on-Kubernetes compute platform, including autoscaling, resource tuning, and multi-tenancy considerations.

- Own the lakehouse storage layer built on Apache Iceberg and AWS Glue catalog - table design, partitioning, compaction, schema evolution, and retention.

- Build and operate orchestration on Airflow: DAG standards, deployment flows, environment promotion, and reliability.

- Own production operations of the platform: monitoring, alerting, incident response, and continuous hardening.

Frameworks & Developer Enablement

- Build the code frameworks, libraries, and templates that other engineers use to write pipelines - so that spinning up a new production-grade Spark job is measured in hours, not weeks.

- Define and enforce standards for pipeline structure, testing, observability, and deployment across teams.

- Own CI/CD for data workloads: image builds, artifact promotion, and GitOps-based delivery.

- Act as a technical partner to product and research teams building on the platform - your customers are other engineers.

Data Pipelines & Architecture

- Design and build scalable batch and streaming pipelines processing complex, high-volume datasets from diverse sources.

- Lead large-scale backfills and migration initiatives, ensuring data consistency and integrity across evolving storage and compute platforms.

- Design event-driven data flows over large-scale queue systems (Kafka) for reliable, efficient data movement.

Cost & Performance

- Continuously balance cost against performance: right-size compute, tune queries and jobs, optimize storage layout and file sizes, and choose the correct engine for each workload.

- Build cost visibility and attribution into the platform so trade-offs are made with data, not guesswork.

דרישות:
- 5+ years of experience in software engineering, with meaningful time spent building and operating large-scale data platforms.

- Strong hands-on experience with distributed processing engines (Spark strongly preferred), including performance tuning and debugging in production.

- Practical experience deploying and operating workloads in Kubernetes-based environments - you're not afraid of infra work; you enjoy it.

- Experience building shared frameworks, libraries, or internal tooling used by other engineers, with the product mindset that comes with it (clean APIs, docs, versioning, backward compatibility).

- Strong proficiency in SQL and data modeling: complex analytical queries, query tuning, partitioning strategies.

- Solid software engineerin המשרה מיועדת לנשים ולגברים כאחד.

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30/07/2026

MLOps Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.

Requirements:
- BSc or Master's degree in Computer Science, Mathematics, or Engineering.

- At least 5 years of commercial experience in Python.

- At least 3 years of hands-on commercial MLOps experience in production (not side projects).

- Experience managing or leading a team of engineers, with ownership of both people and delivery.

- Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining).

- Experience with pipeline orchestrators such as Dagster or Airflow.

- Experience with a major cloud provider such as GCP, AWS, or Azure.

- Experience with distributed computing systems.

- Experience with Docker.

- Experience with Kubernetes.

- Commercial experience writing and maintaining scalable ML systems.

- Fluent in English, both written and spoken.

This position is open to all candidates.

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8762151

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04/08/2026

AI Backend Engineering Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across our 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 AI/ML/Backend 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 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.

Requirements:
7+ years of experience as a Backend Developer / Data Engineer / ML Engineer
3+ years in a technical leadership role.
Python (Java as an advantage)
Bachelors degree in Computer Science or related STEM field (Masters preferred).
Proven track record of building and deploying AI-based solutions at scale.
Deep expertise with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch).
Strong background in system design, cloud-native architecture, and microservices.
Experience with NoSQL and real-time data processing pipelines.
Exceptional leadership, mentorship, and communication skills.
Strategic mindset with the ability to balance hands-on coding and team leadership.

This position is open to all candidates.

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17/08/2026

R&D Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced full-stack team lead to join our R&D organization, lead the design and development of large-scale, data-oriented applications.
In this role, you will manage a talented team of full-stack engineers while remaining hands-on and technically involved in building our core SaaS security platform.
You will play a key role in shaping system architecture, driving technological innovation, and ensuring the delivery of robust and scalable solutions in a fast-paced, dynamic environment.
Key Responsibilities:
Lead and mentor a team of full-stack engineers, guiding them in design, development, and delivery of complex projects.
Drive the architecture and implementation of data-centric applications using modern technologies and cloud infrastructure.
Lead a fast-moving development team, ensuring strong execution and teamwork in a dynamic environment
Collaborate with QA, Product, Design, and DevOps teams to ensure system scalability, reliability, and performance.
Conduct code reviews, enforce best practices, and foster a high-quality engineering culture.
Research and integrate new technologies to overcome technical challenges and improve productivity.
Own full project lifecycle, from requirement gathering and design to deployment and monitoring in production.

Requirements:
7+ years of professional experience in Full Stack development, including at least 3 years as a Team Lead.
Proven hands-on experience building and maintaining large-scale, data-oriented platforms.
Strong understanding of cloud architecture and distributed systems (AWS preferred).
Experience developing and maintaining CI/CD pipelines and production-grade microservices.
Excellent communication and mentoring skills; ability to inspire and lead a team.
Problem-solving mindset and a proactive, can-do attitude.
Strong collaboration skills and the ability to work in a fast-paced environment.
Experience with the following tech stack: Python, TypeScript, React, Kubernetes, Kafka, Postgres
Experience with NoSQL databases and data lake storage solutions - Advantage
Experience working on SaaS-based security products - Advantage
Experience with browser extension or other end point clients - Advantage.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8785524

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תיאור

שליחה

תודה על שיתוף הפעולה

מודים לך שלקחת חלק בשיפור התוכן שלנו :)

המשרה נמחקה

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המשרה הוחזרה לרשימת תוצאות החיפוש

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אירעה שגיאה בשליחת פרטיך למשרה

10/08/2026

Hands-on AI & Data Engineering Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.
Key responsibilities:
Lead a team of data scientists, data engineers and product analysts
Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation
Drive excellence, code quality, and best development practices
Provide technical direction and hands-on guidance for complex AI systems
Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences
Ensure AI solutions are safe, scalable, observable, and continuously improving
Lead initiatives around product data analysis and experimentation
Analyze user interactions with product features to improve accuracy, UX, and business impact
Partner with product teams to define metrics, dashboards, and experiments that guide product improvements
Design system architectures for AI-enabled applications at scale
Evaluate and select technologies for AI platforms and data pipelines
Guide the development of prompt engineering frameworks and centralized prompt management
Ensure robust monitoring, evaluation, and feedback loops for AI outputs
Translate product and business goals into technical roadmaps and execution plans
Drive alignment between AI capabilities and measurable product outcomes.

Requirements:
6+ years of software engineering experience building production-level systems.
2+ years of engineering management or technical leadership experience.
Strong experience building large-scale backend systems in Python.
Experience developing modern web applications using frameworks such as React / Next / Angular / Vue.
Experience deploying and operating LLM-based systems in production, including evaluation and iteration.
Strong understanding of data pipelines, experimentation, and product analytics.
Experience with modern cloud environments such as Google Cloud Platform or Amazon Web Services.
Passion for clean code, scalable architectures, and data-driven product development.
Experience with prompt engineering, RAG architectures, and vector databases.
Experience building AI agents or autonomous workflows
Nice to Have:
Experience with frameworks such as ADK, A2A, LangChain, LangGraph, or LlamaIndex or equivalent
Experience with gRPC and protobuf-based architectures
Experience building MCP servers
Background in data engineering, experimentation platforms, or ML infrastructure.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8775194

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