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Were looking for a junior engineer or 4th-year student with hands-on experience in business process automation and familiarity with GenAI tools. This role combines AI, operations, and automation, and focuses on helping standardize internal business operations, understand existing workflows, and build automations that create clear, measurable impact across teams such as Operations, HR, Finance, Legal, Sales, Marketing, and IT.
In this role, you will work on both internal and customer-facing projects. On the internal side, youll support HubSpot and FinOps tracking and automation, and help the company adopt AI and automation tools across day-to-day business operations, including Sales and Marketing.
On the customer-facing side, youll support process mapping, GenAI maturity assessments, and cross-team productivity work. Youll use automation tools such as Zapier, Make, and n8n, and take part in exploring and implementing agentic AI workflows. This includes building automated flows that combine LLMs with business rules, connected tools, and task execution.
This role combines elements of Operations, GenAI, and Industrial Engineering, and focuses on helping enterprise and startup customers adopt GenAI capabilities in a practical way.
Key responsibilities :
Build and maintain basic financial tracking dashboards and support FinOps processes
Support the implementation of AI tools for Sales and Marketing, including go-to-market activities
Automate HubSpot tracking and connect CRM data with AI-based systems
Analyze and document existing business workflows across different departments
Identify automation opportunities and build secure workflows using Zapier, Make, or n8n
Create, maintain, and analyze GenAI maturity assessments
Support customer success activities to ensure high satisfaction and continued growth

Weve served many satisfied customers globally and are now hiring a hands-on GenAI leader to join our GenAI Center of Excellence in Israel.
As a Generative AI Engineering Lead, you will lead the design, development and implementation of cutting-edge Generative AI solutions for our clients - ranging from Fortune 500s and enterprises to leading SMBs and startups. In this hands-on role, you will work closely with software, AI & data engineers, data scientists, architects and PMs to drive innovation and efficiency through AI solutions.
Responsibilities:
● Lead (hands-on) the design and development of state-of-the-art Gen-AI applications and products for top-tier clients
● Build and lead a team of GenAI engineers working across the stack to deliver end-to-end production-grade AI solutions to complex business problems
● Lead client AI discovery processes and sessions to deeply understand the customers needs and provide AI implementation recommendations
● Provide customers with Generative AI expertise and advisory through architecture designs, PoCs and solution reviews
● Work closely with our teams of cloud experts to deploy AI solutions across all major cloud environments (Azure ,AWS, GCP)
● Collaborate with cross-functional teams to translate business requirements into technical specifications for AI-powered applications
● Stay up-to-date with the latest GenAI technologies, research and trends

We are seeking a Senior DevOps Engineer to oversee and lead cloud infrastructure and DevOps practices.
This is a hands-on role, responsible for the reliability, scalability, security, and cost efficiency of our production platform on AWS.
What You Will Do
Lead DevOps strategy and day-to-day operations (hands-on).
Own AWS & EKS infrastructure and Kubernetes production environments.
Manage Infrastructure as Code using Terraform.
Build and maintain CI/CD pipelines (GitHub Actions, ArgoCD).
Own observability, monitoring, and on-call processes.
Drive cloud cost optimization, security, and SOC2 compliance.
Collaborate closely with R&D, Data, and Algorithms teams.

Were seeking a Team Lead - Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leader-capable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.
You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.
Key Responsibilities
Leadership & Team Management Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
Define and enforce coding standards, architectural patterns, and best practices.
Collaborate with stakeholders to translate business needs into AI-driven solutions.
Manage project timelines, technical risks, and team deliverables.
Generative AI & Prompt Engineering Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
Implement safeguards (guardrails, structured output validation, injection protection).
Architecture & Backend Development Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
Drive observability: tracing, logging, monitoring for LLM-powered systems.
Evaluation & Optimization Benchmark and evaluate LLMs using custom datasets and automated testing.
Oversee system reliability, performance tuning, caching, and optimization.
Ensure solutions meet enterprise-grade standards for security and scalability.