Tenable Operational Technology (OT) Security

Tenable OT Security was established through the acquisition of a pioneering
Israeli cybersecurity startup, marking a major milestone in Tenable’s
mission to provide proactive security for the world's most sensitive
environments. Our solution offers critical visibility and risk management
for Industrial Control Systems (ICS/SCADA), protecting essential
infrastructures such as power plants, manufacturing floors, and smart
buildings. While traditionally an on-premises solution designed to ensure
operational continuity and prevent costly downtime, we are now evolving our
technology to deliver market-leading risk visibility through advanced
architectures and AI-driven capabilities. By combining deep on-premises
expertise with proactive AI insights, we empower organizations to identify
threats and network anomalies before any damage occurs

Your Opportunity:
As a Fullstack /Frontend oriented  Engineer on our team, you will be a key
contributor to our OT security platform, building from the ground up using
the latest versions of Angular. We are looking for a developer who is
equally comfortable defining new technical foundations as they are diving
into daily feature development and ticket execution. You will work as a
core member of an agile team, partnering with Product and Design to
translate requirements into user-centric interfaces, while also having the
curiosity to touch the Backend and work with APIs. This role is ideal for a
proactive engineer who enjoys the end-to-end process—from integrating
AI-driven insights to delivering on product goals—ensuring a seamless
experience for our customers..

What you'll need:

• 3+ years of experience as a Front-end Developer, with a strong focus on  the Angular Framework.

•   Proficiency in TypeScript, JavaScript, and CSS (experience with SASS/LESS is a plus).

•   Deep knowledge of performance optimization techniques and browser  troubleshooting.

•   Active engagement with AI development tools (Copilot, Cursor, Claude, etc.) with a strong emphasis on prompt engineering.

•   Critical thinking skills, a sense of ownership, and a team-player mentality.

•  Excellent interpersonal and communication skills.

Not sure whether to apply? Just do it!

As a Senior Back-End Engineer, you will be tasked with building backend infrastructure for a new AISPM product, focused on monitoring AI assets, assessing risks, and delivering actionable insights. You will work in a fast-paced, innovative environment that requires agility, adaptability, and continuous iteration. Your work will also include enforcing security policies and ensuring safe, compliant AI deployment while contributing to the future of cybersecurity.

What Will You Do?

Primary responsibilities include:

• Design, develop, and maintain scalable server-side applications and APIs.
• Implement and optimize database schemas, queries, and data storage solutions.
• Collaborate with frontend developers to integrate user-facing elements with server-side logic.
• Participate in code reviews and contribute to architectural decisions.
• Troubleshoot, debug, and upgrade existing systems.
• Implement security and data protection measures.
• Work with cloud services (e.g. AWS, Azure, or GCP) to deploy and manage backend services.
• Contribute to the development of microservices architecture.
• Stay updated with emerging backend technologies and industry best practices.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 5+ years of Backend development experience in Node.js and Typescript
• Database Management
• API Development and Integration with experience designing and building RESTful APIs along with familiarity with GraphQL is a plus
• Experience in designing and implementing microservices
• Scalability and Performance Optimization - Understanding of caching strategies and message queues and experience with large-scale, distributed architectures
• Experience implementing authentication, authorization, and data protection mechanisms
• Excellent problem-solving skills and attention to detail
• Proactive attitude and ability to thrive in a dynamic startup environment
• Communication and collaboration skills

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. 
 
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! 

We’re looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions that transform how our teams operate. 

This is not a research role. You’ll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short. 

If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you. 

Responsibilities: 

• Partner directly with business teams to identify automation and optimization opportunities 
• Design and implement agent-based AI workflows to automate internal processes end-to-end 

• Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain 

• Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows 

• Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations 

• Take solutions from idea → prototype → production 

• Governance, Reliability & Security 

• Ensure AI workflows comply with security, privacy, and compliance requirements 

• Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed 

• Monitor AI performance, errors, hallucinations, and drift 

• Collaboration & Enablement: 

• Partner with business owners to identify automation opportunities 

• Translate business requirements into AI-driven solutions 

• Document AI flows, decision logic, and operational runbooks 

• Educate internal teams on AI capabilities and limitations 

Requirements: 

• 3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code 
• 2+ years of GenAI development experience, with strong AI/ML focus - MUST 
• Strong Python skills and production mindset - MUST 
• Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems 
• Experience with LangGraph, crewAI, Strands or similar orchestration frameworks 
• Experience in enterprise grade agentic solutions and bringing Agents into production 
• Experience in AWS Agent Core - Advantage 
• Solid understanding of ML workflows and MLOps principles 
• Strong analytical skills and ability to work directly with non-technical stakeholders 
• Builder mindset: proactive, independent, and impact-driven 
• Experience with Agentic AI driven applications like n8n, UiPath, Make –Advantage  

Senior AI-Native Software Engineer

Role summary

You will join a high-impact AI engineering team within R&D, owning problems end-to-end — from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.

As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild — building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.

Location

Hybrid — Herzliya, Israel

Full-time

What you'll do

• Own the full development loopunderstand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
• Use AI as your primary development tool, achieving in a day what used to take a team a week
• Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
• Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
• Own production readiness monitoring, alerting, and observability go in on day one
• Contribute to shaping team practices, tooling, and engineering standards across the pod
• Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.

Who you are

• 5+ years of software engineering experience, building and operating production systems
• Hands-on experience with AI/ML systems in production not just prototyping, but shipping, monitoring, and iterating
• Genuine fluency with AI-powered development tools you use them daily to move faster
• Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling
• Strong evaluation instincts you define metrics, build test sets, and validate before shipping
• Comfortable across the full stack you move between prompt engineering, backend services, data pipelines, and infrastructure as needed
• High degree of independence you lead work from problem definition to production without waiting for detailed specs
• Excellent communication you flag risks early, give direct feedback, and collaborate openly Fintech or regulated-environment experience is an advantage

#LI-LF1

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We believe “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going. We are looking for a passionate Full-Stack Engineer to lead, design and development of core product features and services that power our app used by thousands of travelers on a daily basis. You will work closely with a set of talented engineers, product managers and designers to identify customer needs and build innovative solutions to solve them.

What You’ll Do:
● Design, build and evolve the core backend and frontend of our platform in a scalable and
reliable way.
● Build AI-powered features using multi-agent architectures and LLM integrations to deliver intelligent,
conversational experiences.
● Technically own problem domain: facilitate design, development, and launch of key
microservices in the domain.
● Work cross-functionally with various engineering and product teams to deliver cross-
domain features.
● Work with the leadership to identify, plan, and execute long-term vision.
● Be the Subject Matter Expert of the domain under ownership.

What We're Looking For:
● At least 5 years of experience in software development.
● At least 2 years of experience in FE development using Angular, typescript, and React.
● Experience with Spring Framework and Hibernate or similar ORM technologies.
● Strong programming skills and CS fundamentals.
● Experience with agentic AI systems (LangChain, agent frameworks, prompt engineering) and AI coding tools (Claude Code, Copilot) is a strong plus.
● Deep understanding of microservices and event-driven architectures.
● Strong sense of ownership demonstrated through shipping production-quality code
equipped with testing, monitoring and documentation.
● Passion for investigating and solving problems and willingness to learn and utilize new tools and technologies.
● Team player with strong communication.
● Ability to thrive in a fast-paced environment.
● Experience working at scale.
● Experience with AWS and/or distributed systems is a plus.

About Us

At Unframe, we build AI-powered products that address real-world challenges. Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery. We work on-site from our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose.

What You'll Do

As an Applied AI Engineer, you’ll work closely with customers and internal teams to translate business problems into AI-driven solutions. You’ll be hands-on with AI workflows, and help bridge the gap between model capabilities and real-world impact.

Responsibilities

• Implement workflows and configure model behavior for customer solutions.
• Build integrations between AI logic and deterministic building blocks.
• Work with platform and research teams to surface platform-level improvements.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering, data science, machine learning, or research roles (including relevant academic experience).
• Experience building and delivering production solutions to customers using Python, TypeScript, or similar.
• Experience building pipelines for structured and unstructured data, including work with vector databases and retrieval-augmented generation (RAG)-like architectures.
• Experience with prompt design, evaluation, and iteration workflows.
• Ability to rapidly understand complex domains and read and implement research papers.
• Comfortable working with real-time applications and production systems.

Nice to Have

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Google ADK) and patterns such as ReAct, self-reflection, and hierarchical delegation.
• Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Background in data pipelines, APIs, or system integrations.
• Experience working with enterprise or B2B customers.
• Experience working in fast-paced startup environments.

About Us

At Unframe, we build AI-powered products that address real-world challenges.
Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery.

What You'll Do

As a Full Stack Software Engineer on the Platform team, you’ll work on the core of Unframe - building reusable AI services, scalable APIs, a dynamic UI engine, and shared infrastructure that powers every solution we deliver. We work on site from our Tel Aviv office, building fast and collaborating closely to support the entire product surface.

Responsibilities

• Design and implement core AI building blocks, backend services and frontend components.
• Work on platform-wide features such as user management, abstractions, and dashboards.

Requirements

• 4 + years of software-engineering experience.
• Ability to design clean APIs, services and reusable UI components.
• Proficiency with JavaScript, Node.js, Vue\React and PostgreSQL.
• Experience working on platforms, developer tools, or complex product environments.
• High standards for performance, maintainability and developer experience

Nice to Have

• Background in AI/ML, LLMs, or prompt-based apps.
• Experience with design systems or multi-tenant architecture.
• Familiarity with backend performance optimization and DB architecture.

SUMMARY

We’re looking for a hands-on Technical Project Manager and spread the power of Wiz. As part of the CTO operations team, you will focuses on improving deployment pipelines and internal tools by digging into logs, finding recurring issues, and reducing manual work. The role combines technical problem-solving with practical execution and coordination.

WHAT YOU’LL DO

• You’ll work with engineers and domain leads to help teams improve how they build and operate systems.
• Help build and maintain the Unified Maturity Table, defining the technical parameters (workflows, support packages, other metrics) and their KPIs that conclude a domain’s readiness and maturity.
• Partner with the team to refine internal AI agents by measuring the performance of their answers against human expert interventions.
• Use cluster analysis (AI) of support ticket descriptions to identify recurring patterns, then design and implement automated workflows to streamline resolution.
• Take part in driving the department’s "operating system" by facilitating design meetings, managing cross-domain syncs, and ensuring the documentation and support packages required for daily execution are current and actionable.
• Define and implement different thresholds by analyzing support ticket complexity, resolution times, and domain-specific friction.
• Transition static maturity reports into live, dynamic dashboards with trend lines.
• Lead design meetings to establish cross-functional standards for domain maturity and system health alerts.

WHAT YOU’LL BRING

• 3–6 years of hands-on experience as a Software Engineer, Data Engineer, SRE, or Solutions Engineer.
• Proficiency in querying and analyzing large datasets (SQL, Python, or similar) to diagnose system bottlenecks and deployment failures.
• A proven track record of taking manual, "friction-heavy" processes and building automated, scalable engineering solutions.
• Experience with prompt engineering, RAG concepts, and auditing AI model outputs for accuracy and reliability.
• Ability to translate complex technical friction into a prioritized roadmap for stakeholders and senior leadership and lead the project to the finish line.

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. 

Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

Why is this role so important at Similarweb?

As an AI Engineer at SimilarWeb, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.

So, what will you be doing all day?

• Design and develop LLM-based intelligent agents that can handle complex market research queries.
• Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
• Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
• Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
• Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.
  
  

This is the perfect job for someone who:

• 5+ years of experience in software engineering, with strong proficiency in Python.
• Experience with LangGraph, LangChain, or similar frameworks for building AI agents.
• Strong understanding of LLMs, prompt engineering, and AI agent architectures.
• Familiarity with REST APIs and integrating external data sources.
  
  

Preferred Skills:

• Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, and more.
• Experience with evaluating LLM performance and quality.
• Familiarity with cloud environments, especially AWS.

**At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.**

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role — you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.

What you'll do:

• Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
• Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
• Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
• Own end-to-end conversational journeys — from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
• Build and maintain prompt evaluation pipelines — designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
• Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
• Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
• Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices — helping establish Payoneer’s standards for responsible, effective AI Agent deployment.
• Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the team’s workflow.

Who you are:

• 3–4+ years of hands-on experience working with Large Language Models (LLMs) — including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
• English proficiency — Mandatory (native or near-native written English; this role is language-critical).
• Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
• Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
• Experience with AI Agent architectures and concepts — tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
• Strong analytical skills — comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
• Experience designing for multilingual and multicultural audiences.
• Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
• Familiarity with version control practices for prompt management and documentation.
• Excellent stakeholder management — able to align multiple teams around conversational strategy and priorities.

Advantages:

• Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
• Knowledge of SQL or analytics/BI tools for performance analysis.
• Background in customer service, contact center, or fintech environments.
• Experience with UX writing, content design, or conversation design as a discipline.
• Familiarity with AI safety, responsible AI frameworks, and compliance considerations in regulated industries.
• Understanding customer journey mapping and service design methodologies.
• Experience with Figma or similar design tools for flow visualization.

#LI-AG2

What is this opportunity?

At Eleos, we build a behavioral health CareOps automation platform that transforms therapy conversations into structured insights and clinical documentation. Our system uses advanced ML and LLM technologies to improve care quality, support therapists’ daily workflows, and reduce documentation time by over 50%.

As a Senior ML Infrastructure Engineer, you will design and build the infrastructure that powers our ML and LLM systems in production. You will develop scalable pipelines, systems, and tools that enable data scientists and AI teams to efficiently develop, test, and deploy models.
Working closely with data scientists, engineers, and product teams, you will ensure our ML capabilities are reliable, scalable, and production-ready—helping bring cutting-edge AI to improve mental health care.
This is a unique opportunity to join a startup with a real impact on thousands of people’s wellbeing and mental health, applying cutting-edge AI technologies to solve meaningful human problems.

How will you contribute?

• Design and build infrastructure and backend services supporting ML and LLM systems
  
  
• Develop and maintain ML training and deployment pipelines
  
  
• Build tooling that enables model experimentation, versioning, and reproducibility
  
  
• Implement CI/CD pipelines for ML workflows and model deployment
  
  
• Support LLM deployment, prompt management, and optimization pipelines
  
  
• Improve reliability, monitoring, and observability of ML systems in production
  
  
• Collaborate with data scientists to productionize models and research prototypes
  
• Ensure secure and compliant handling of sensitive healthcare data
  
  

What qualifications and skills will help you be successful?

• 5+ years of industry experience in ML Infrastructure, Backend Engineering, or related fields
  
  
• Strong Python experience with production-grade systems
  
  
• Experience working with cloud platforms (AWS, GCP, or Azure)
  
  
• Experience with containerization technologies (Docker, Kubernetes)
  
  
• Experience building CI/CD pipelines for ML systems or backend services
  
  
• Experience supporting LLM deployment or ML models in production
  
  
• Familiarity with model versioning, experiment tracking, and ML tooling
  
  

Some nice to haves are:

• Experience with prompt engineering and prompt management
  
  
• Experience with data versioning tools (DVC, Pachyderm, etc.)
  
  
• Experience with MLOps platforms (MLflow, Kubeflow, etc.)
  
  

Who We Are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What You Will Do

We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.

You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.

• Architect and implement distributed services that power AI-driven applications.
• Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
• Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
• Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
• Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
• Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
• Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

Who You Are

• Backend Specialist with a Passion for AI/GenAI, strong systems skills, and eagerness to grow in AI.
• 5+ years in Python /Java/Scala/C#/ Go
• Familiarity with LLM frameworks (LangChain, LangGraph, Haystack, etc.) or willingness to learn.
• Basic understanding of prompt engineering, vector databases, and retrieval-augmented generation (RAG).
• Solid knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Proven track record in building scalable, distributed systems.
• Strong problem-solving, ownership, and collaboration skills.

Nice-to-Have Skills

•  Exposure to reinforcement learning, multi-agent systems, or autonomous planning.
• Interest in ML Ops, AI model deployment, and scaling AI workloads.
•  Experience with data engineering for AI (ETL pipelines, feature stores, embeddings).
•  Any experience building AI-powered platforms or agent-based systems.

#Hybrid#

Making Security Real

As a Senior Information Security Engineer, you’ll be on the front lines of protecting the systems, users, and data at scale. This role is about turning strategy, architecture, and intent into enforced controls, effective detections, and resilient operations. You’ll work hands-on with the tools, signals, and incidents that define our real security posture.

If you believe security should be practical, measurable, and embedded into daily operations—and not just documented—we want you on the team.

What the Role Looks Like in Practice

You will be the technical anchor of our internal security posture:

• Architectural Ownership: Deploy, manage, and tune enterprise-grade security stacks (EDR, DLP, IAM, CASB, MDM) with a focus on deep integration and automation.
• The AI Frontier: Lead the charge on AI Security. You will implement and secure AI-driven workflows, ensuring LLM use is governed and protected against emerging threats such as data leakage and prompt injection.
• Proactive Defense: Build and maintain high-fidelity detections and guardrails that align with real-world attack techniques.
• Cross-Functional Synergy: Partner as a peer with Engineering, IT, and DevOps to ensure security controls are frictionless, automated, and effective.

What You’ll Bring

Technical Must-Haves:

• 7+ Years of Senior Experience: Extensive hands-on experience in InfoSec Engineering or SecOps within high-growth, cloud-native environments.
• AI Security Mastery (Required): You are ahead of the curve. You have practical experience securing AI adoption and leveraging AI-driven platforms to scale defensive capabilities.
• Deep Technical Stack: Expert-level knowledge of endpoint security (macOS/Linux), SaaS ecosystems, and Identity (Okta/OIDC).
• The Developer Mindset: Advanced scripting skills (Python is a must) to automate away manual toil and build custom security integrations.

Professional & Interpersonal Excellence:

• Strategic Communication: The ability to articulate complex technical risks as actionable business intelligence for diverse stakeholders, ensuring alignment between security objectives and business goals.
• Collaborative Influence: A track record of fostering strong partnerships with R&D and DevOps. You are a facilitator of "Secure-by-Design" principles, focused on engineering solutions rather than creating administrative bottlenecks.
• Crisis Management & Decisiveness: The capacity to maintain operational composure during high-stakes incidents, applying rigorous prioritization and risk-based analysis to drive remediation.
• Pragmatic Professionalism: A disciplined approach to balancing theoretical security ideals with the functional requirements of a high-velocity, global financial infrastructure.

Big Ideas. Real People.

At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod. 

We’re looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod? 

Highlights

• High-growth: Over the past seven years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

• Design and implement cloud-native, distributed services that power Orca’s AI-driven security features
• Build and maintain agentic AI systems that reason over large-scale cloud security data and interact with multiple internal services
• Own AI agents in production, including deployment, monitoring, troubleshooting, and performance optimization
• Implement observability for AI systems, including metrics, logging, tracing, and alerting for agent behavior, quality, latency, and cost
• Develop continuous evaluation pipelines for agentic solutions, including offline testing, regression detection, and production feedback loops
• Design and optimize RAG pipelines that operate reliably over high-volume, high-variance security data
• Apply strong software engineering practices: clear APIs, clean abstractions, robust error handling, and scalable data flows
• Lead services end to end - from design and implementation to deployment and long-term operation
• Collaborate closely with Data Platform, Product, and Security Research teams to ensure AI behavior is correct, explainable, and trustworthy

About this role:

Connecteam is a fast-growing startup that is on a mission to change the deskless work experience. With over 3.8B deskless workers across the globe, the challenges and potential are endless. 

We are  looking for an experienced Senior Product Fullstack Developer, to  further develop the Connecteam platform. You will build a product that customers love and use on a daily basis, a product that is fun to use, fast, reliable and scalable. You will tackle a wide array of problems from developing a UI that is responsive to the user and fun to choosing the right backend technologies to solve specific product use cases at scale. 

Ownership & Responsibilities:

As Product Fullstack developer you will be assigned to one of our product groups consisting of a representative from sales, customer success, support, data, marketing and R&D. Each group member is in charge of giving inputs from their respective team. The idea is to have a holistic view of your part of the product in order to be able to make the right decisions about the product. Together with your product group you will understand your customers use cases and needs, define the roadmap, and build your weekly sprints. Additionally as the developer in the group you will be in charge of pushing your product forward from the technical perspective, everything from solving bugs, planning the right architecture, coding features, and pushing it all to production.

Requirements: 

• 5+ years of experience working with frontend and backend technologies at scale.
• Experience developing a backend service in Python
• Experience developing a robust frontend in React
• Experience in a wide variety of technical tools such as different DB types, queues, design patterns, and architectures. 
• Ability to understand the pros and cons of different architecture decisions and choose the best option.
• Experience scaling services to millions of users.
• Understands the complexity of web technology, constraints, UI/UX.
• Experience with State Management libraries (mobx, redux)

Advantages:

• • Experience with running production workloads on AWS/Azure platform
  • Experience working with AI tools and technologies – including integration of AI APIs, prompt engineering, or building features powered by machine learning models.

About the team

The KMS team sits at the very heart of Fireblocks’ platform and is a pivotal team in the company.

The team is responsible for the cryptographic backbone of the platform that secures customers’ most sensitive secrets. Every transaction signing flow. Every cosigner interaction. Every key generation ceremony. Every backup and recovery mechanism. If it touches a private key - it touches this team.

The team performs mission-critical engineering at high scale, working on systems where failure is not an option, security is existential, performance matters and correctness is everything. The work is deep, challenging, and intellectually demanding - blending modern C++ systems programming with distributed backend architecture and applied cryptography.

If you enjoy solving problems where security, scale, distributed systems, and adversarial thinking collide - this is your kind of challenge.

What You'll Do:

You’ll collaborate with backend engineers, infrastructure teams and security and cryptography researchers to ship production-grade highly secure digital signing systems, balancing cryptographic rigor, performance constraints, and distributed reliability in a domain where small mistakes have massive consequences. This includes:

• Architecting, designing and implementing distributed backend services responsible for key generation, storage and lifecycle management
• Developing high-assurance signing protocols and signing flows (utilizing MPC or external signing devices)
• Building easy to use, secure backup and disaster recovery mechanisms for cryptographic material
• Hardening systems against adversarial conditions and real-world attack vectors
• Optimizing performance-critical components that execute complex operations
• Providing visible value to customers by constant product optimisation
• Winning new customers with industry leading flexible deployments

What You'll Bring:

• Must-Have

  • 5+ years of strong C++ experience in production systems
  • 3+ years of experience in any other high-level programming language
  • Experience working inside an Agile R&D organization that delivers value fast
  • Experience building large-scale backend or distributed systems (SaaS experience strongly preferred)
  • Hands-on experience working with AI tools and the ability to effectively prompt, integrate, and build workflows around AI assistants
  • Critical AI judgment: the ability to challenge, validate, and override AI-generated output especially in security-sensitive or correctness-critical contexts
  • Experience working with SQL DBs
  • Experience working with cloud and backend technologies (e.g. Docker, K8S, AWS, Azure, DataDog, Prometheus)
  • Deep understanding of concurrency, memory management, system design, and performance optimization
  • Experience working on mission-critical or high-reliability platforms
  • A strong security engineering mindset
  • Proven capability to understand and take part in novel research: either in industry or by having any scientific academic degrees  
  
  

  Strong Advantage

  • Familiarity with the blockchain ecosystem
  • Familiarity with product components hosted on-premise 
  • Experience integrating with HSMs or Trusted Execution Environments (confidential computing) 
  • Background in either highly security-sensitive environments, Kernel development or cyber-security

About the role: 

Forter is looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. This role is outward-facing: you will sit alongside GTM and G&A functions — Sales, Marketing, Finance, HR, Legal, Customer Success — and fundamentally alter how these teams operate with AI.

Departments outside of R&D are still early in their AI journeys, and they need technically strong partners who can understand their workflows, identify the highest-leverage opportunities, and build the solutions that actually change how work gets done. If you see the value in sitting with a business leader, understanding a painful manual process, and shipping something in a week that saves hundreds of hours, then this role is for you.

Why should you join us?

This is a unique opportunity to own the end-to-end AI transformation of entire functions, with executive sponsorship and real mandate. You’ll be working as part of an incredibly strong team of senior engineers at the forefront of AI. The work revolves around learning the latest tech in AI, and leveraging it to change how hundreds of people across the organization work every day.

You'll operate with unusual autonomy: scoping problems directly with function leaders, deciding what to build, shipping it, measuring impact, and iterating. You'll work closely with senior leadership to ensure your work aligns with company strategy, giving you company-wide business impact and visibility.

What you will be doing:

• Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
• Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
• Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
• Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
• Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
• Measure and report on AI adoption impact — quantifying time saved, process improvements, and capability gains — to build the case for continued investment and to guide prioritization.

Who are you?

• 7+ years of software engineering experience, with a strong track record of shipping production systems.
• Demonstrated experience working directly with non-technical teams to deliver technology-driven transformation. 
• Exceptional communication skills: you can run a discovery session with a VP of Sales, write a clear project brief, present results to an executive audience, and pair with a junior analyst on prompt engineering, all in the same week.
• Strong product instincts. You naturally think in terms of user problems, adoption, and measurable outcomes rather than technical elegance for its own sake.
• Comfortable with ambiguity and self-direction. You won't have a detailed backlog handed to you; you'll build it by understanding the business.
• Passionate about LLMs, prompt engineering, and AI application patterns (RAG, agents, tool use). 

It’d be really cool if you also:

• Have led or played a central role in an AI or digital transformation initiative, with measurable results you can speak to.
• Have experience in product management, solutions engineering, or technical consulting roles in addition to software engineering.
• Are familiar with GTM/G&A tooling ecosystems (CRM, ERP, BI platforms, HRIS, marketing automation) and understand how AI can augment them.
• Have hands-on experience with agentic patterns (Claude Code, MCP, Strands Agents or similar), RAG systems, and evaluation frameworks.
• Have built internal AI tools or chatbots that non-technical users actually adopted and continued using.
• Have experience designing and delivering technical training or enablement programs.

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• #3 on Fast Company’s list of “Most Innovative Finance Companies” (2022)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)
• SAP Pinnacle Awards “New Partner Application Award” (2023)
• Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

About Kape Technologies

Kape is a cybersecurity company focused on helping everyone have a better digital experience with greater privacy and protection. With over 1000 experienced individuals across ten global locations, including the UK, Israel, Germany, Romania, France, the Philippines, USA, Singapore, Hong Kong, and Cyprus, the Kape team is guided by a single mission: to create a more secure and safe world.

Job Summary

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.

This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Core Responsibilities

• Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources. 
• Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake. 
• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness. 
• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals. 
• Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring. 
• Own and operate production data workflows, resolving incidents and ensuring reliability. 
• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.
• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.

Tech Stack

• Languages & Tools: Python, SQL 
• Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena 
• Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt 
• Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform 
• Streaming: Kafka, Kinesis 
• BI & Analytics: Tableau, Power BI

Core Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing
• Deep proficiency in Snowflake or AWS Redshift
• Strong programming skills in Python and SQL
• Hands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ‘ask your data’ interfaces
• Experience with pipeline orchestration tools (Airflow, Glue, dbt)
• Solid understanding of data modeling, schema design, and ETL/ELT processes
• Strong analytical, problem-solving, and communication skills
• Ability to work cross-functionally and mentor others
• Experience in high-growth, product-led, or SaaS environments

Nice to Have

• Familiarity with AWS infrastructure and DevOps practices
• Knowledge of data privacy and security standards (GDPR, SOC2)
• Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. 

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. 

About the Role:

We are looking for a hands-on GTM AI Engineer to design, build, and deploy AI-powered workflows and automations across our go-to-market (GTM) systems.

This role sits at the intersection of business operations and technology, and acts as the engine behind revenue intelligence, process automation, and scalable pipeline generation systems.

You will be a technical force multiplier for our GTM team including creating workflows, agents, and integrations, embedded directly into core business systems (e.g., CRM, marketing automation, support tools).

This is not a traditional software engineering role, but it requires strong technical execution and ownership across the full lifecycle.

What you’ll do:

• Design, build, and maintain production-grade AI workflows and automations to streamline GTM execution (e.g., lead enrichment, routing, research, follow-ups, CRM hygiene, and customer handoffs)
• Develop and deploy LLM-based solutions, including prompt-driven workflows, reusable prompt libraries, and AI agents embedded within business systems
• Build and maintain integrations and data pipelines across CRM, marketing automation, enrichment tools, and internal systems to ensure reliable, connected data across the funnel
• Own workflow performance, review success metrics, iterate and demonstrate business impact.
• Build and maintain AI-assisted pipeline inspection tools to give RevOps and Sales Leadership real-time visibility into deal health
• Identify opportunities to reduce manual work and improve efficiency across RevOps, Sales, Marketing, and Customer-facing teams
• Partner with cross-functional stakeholders to map processes, identify bottlenecks, and prioritize high-impact automation opportunities
• Drive adoption through enablement: documentation, training, and ongoing feedback loops
• Evaluate and implement new tools and technologies based on ROI, scalability, and maintainability 

What you’ll need:

• 4–7 years of experience in Business Systems, RevOps systems, Data/Systems Engineering, or similar hands-on technical roles
• Proven experience building and deploying end-to-end workflows and automations in business environments
• Hands-on experience with LLM tools and prompt/workflow engineering, with a focus on reliability and real-world use cases
• Experience with automation/orchestration tools (e.g., workato) and/or agent frameworks 
• Strong experience integrating and extending CRM systems (e.g., Salesforce), including workflows, data models, and system integrations
• Experience working with APIs, system integrations, and data flows across multiple platforms
• Experience supporting GTM / RevOps in a SaaS environment
• Strong analytical and problem-solving skills, with the ability to prioritize based on business impact
• High ownership and ability to operate independently from idea to production
• Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

#LI-AM1 #LI-Hybrid 

#LI-TL1 #LI-Hybrid 

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. 

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices. 

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. 

About the Role

We're looking for an AI and Automation Engineer to join our Automation team and help build the internal tools, AI agents and automation systems that power how Transmit Security operates.

This role combines hands-on engineering with impactful product development. The work is split between writing code (TypeScript, React, Python) and designing and implementing automation workflows using low-code platforms.

You'll take part in building intuitive internal web applications that teams enjoy using, developing AI-driven solutions that streamline repetitive processes, creating insightful dashboards to support decision-making, and integrating systems that help the business run smoothly and efficiently.

You'll work alongside our Tech Lead and a US-based IT Automation Engineer, contributing across the full spectrum from designing React-based internal tools to building RAG pipelines to orchestrating multi-step business workflows.

What You'll Do

• Design and build internal web applications using TypeScript and React that serve teams across the organization.
• Create intuitive interfaces that make AI capabilities and automation outputs accessible to non-technical users.
• Build and maintain RAG pipelines — including document processing, embedding, vector storage, retrieval, and evaluation.
• Work with LLM APIs (Claude API, OpenAI API, AWS Bedrock, Vertex) and implement prompt engineering patterns (tool/function calling, structured outputs, few-shot) with proBuild connectors, APIs, and data flows that keep systems in sync and processes running smoothly.
• Work with data from across the business to support decision-making.
• Design and maintain automation workflows using low-code/no-code platforms (Workato).
• Integrate AI solutions into core business tools — Slack, Jira, Salesforce etc.

What We're Looking For

• 2+ years of coding experience, with strong proficiency in TypeScript/JavaScript and Python.
• Experience building web applications with React (or similar modern frontend frameworks).
• Practical experience with LLMs and AI application patterns — RAG, tool use, function calling, prompt engineering.
• Solid understanding of APIs, webhooks, authentication methods, and system integrations.
• Familiarity with AWS (or GCP) cloud services, including AWS Bedrock (or Vertex).
• Comfortable with databases (SQL / NoSQL) for data shaping, analysis, and powering application logic.
• Experience with Git and CI/CD pipelines, particularly GitHub Actions.

Why This Role

• High impact, high ownership. You'll build tools used daily by teams across the company. Your work directly shapes how the organization operates.
• Variety. No two weeks look the same. One week you're shipping a React app, the next you're building an AI agent, the next you're designing a dashboard or automation flow.
• Cutting-edge stack. You'll work with the latest in AI/LLM tooling (Claude, OpenAI, Bedrock) and have the freedom to evaluate and adopt new technologies as the landscape evolves.
• Small team, big scope. You'll have real influence over technical decisions and architectural direction.
• Business exposure. You'll work closely with RevOps, Finance, CS, and other teams, a great fit if you're drawn to understanding how a business runs, not just the code behind it.

We are looking for an AI Engineer to join the hunt.

Responsibilities:

• Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
• Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.

Requirements:

• At least 3 years experience in Python / TS working with AI/ML frameworks
• At least 5 years of backend experience with at least one additional programming language (Java / C# / Node.js / C++)
• At least 3 years experience working with database solutions (RDBMS, NoSQL, Vector)
• Proven experience with writing efficient and useful LLM prompts 
• Proven experience building LLM-based solutions and integrating them into products
• Strong system and architecture design skills, particularly in designing LLM based systems
• Experience or at least substantial knowledge of GenAI technologies such as agentic flows, RAG, model fine-tuning / distilling, prompt engineering, context engineering
• Hands-on experience with cloud platforms and their AI/LLM services
• Experience working on a SaaS product - Advantage
• Experience working with customers and direct customers feedback - Advantage
• Experience using observability / profiling / remote debugging tools - Advantage
• Passionate about AI and up to date with industry trends - Advantage

About Guidde

Guidde is an AI digital adoption platform that serves as the creation and consumption hub for modern organizations. Founded in 2020 by seasoned entrepreneurs, we use generative AI to transform workflows into rich, multi-format documentation in minutes. Our platform helps teams scale knowledge across employees, customers, and even AI systems, turning everyday processes into instant, in-app video guiddes that live where work actually happens.

More than 4,500 organizations worldwide, from fast-growing startups to Fortune 500 enterprises, rely on Guidde to reduce support load, accelerate onboarding, and make knowledge accessible on demand. We’re building the future of how knowledge is created, shared, and experienced.

The Ideal "Guidder" is like our platform - clear, impactful, and focused on delivering value. We blend a startup environment with sports team principles - strategic in planning, collaborative in execution, and obsessed with customer wins. We value doers who listen more than they talk and who show up ready to play their best game. Ready to make your mark on our roster? Go Guidde!

If you are a backend engineer who sees LLMs as a new architecture building block, enjoys balancing deterministic systems with probabilistic AI, and wants to ship real features - not just experiments - then your place is with us!

What will you do?

• Build the AI backbone - Design and implement backend logic that powers Guidde’s core AI-driven experiences
• Develop scalable AI workflows - Create reliable pipelines and agents that handle complex reasoning in production
• Integrate across the product - Write clean, maintainable Node.js and Python code that connects AI capabilities to the core application
• Improve quality through evaluation - Build frameworks to measure, test, and iterate on AI output quality
• Balance speed and reliability - Ensure AI-powered features perform well, scale smoothly, and are production-ready

What will you need to have? 

• Strong backend engineering foundation - 4+ years building production systems with Node.js (TypeScript), APIs, databases, and async architectures
• Python fluency - Comfortable using Python for AI frameworks, experimentation, and data processing
• Applied LLM experience - Hands-on experience building and deploying LLM-based applications using RAG, embeddings, and vector databases
• Solid system design skills - Experience decoupling long-running AI inference from user-facing APIs using queues or similar patterns
• Prompt engineering discipline - Ability to design structured, consistent prompts and maintain them in a version-controlled codebase

Bonus points if you have:

• Experience with frameworks like LangChain, DSPy, or similar tooling
• Built AI features used at scale by external customers
• Worked in a fast-moving startup where shipping matters

Your journey with Guidde

• Leave Your Mark: Build core AI systems that directly shape how thousands of teams create and share knowledge
• Work Your Way (Hybrid): Enjoy a flexible work arrangement based in Tel Aviv
• Innovate Together: Collaborate with product, backend, and design teams to turn AI capabilities into real customer value
• Fuel Your Growth: Expand your skills across AI systems, backend architecture, and product-driven engineering
• Your Value Matters: Receive a competitive compensation and benefits package

We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about a role but your past experience doesn't align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you're a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.

• Championing DevOps culture: Identify friction points and implement scalable automation to improve reliability, delivery speed, and developer experience.
• Operating and optimizing production environments: Leverage infrastructure as code and modern observability tools to ensure stability and performance.
• Empowering R&D: Build intuitive internal tools that foster a self-service culture and enable teams to own their operational workflows.
• Leading deployment lifecycles: Drive architecture, design, and hands-on implementation for deployments across multiple regions and environments.
• Driving innovation with impact: Collaborate across teams, challenge the status quo, and take ownership of technical decisions.

•  4+ years as a DevOps, SRE, or Production Engineer.
• Cloud expertise: Hands-on experience with production workloads on public cloud (GCP/AWS/Azure).
• Containers & Microservices: Proficiency with Docker, Kubernetes, and microservices architectures.
• CI/CD & release engineering: Strong knowledge of pipelines and tools (GitHub Actions, GitLab, Jenkins, ArgoCD, Argo Rollouts).
• Infrastructure as Code: Experience with Terraform, Terragrunt, or similar tools.
• Programming & automation: Scripting/programming skills in Bash, Python, or Go.
• Observability: Familiarity with OpenTelemetry, Prometheus, Grafana, VictoriaMetrics, or similar tools.
• Team spirit: Collaborative, curious, and driven. You challenge ideas constructively, and thrive in an empowering, positive environment.
• Innovation & adaptability: Ability to learn quickly, adopt new technologies, and push boundaries while understanding real-world constraints.

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. 

We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.

About the Role:

As the AI Backend engineer  at Transmit Security, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. You’ll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.

This role requires both strategic thinking and hands-on expertise. You’ll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.

What you’ll do:

• Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
• Build scalable APIs and microservices that interface with LLMs and AI frameworks
• Implement agent orchestration systems, tool calling mechanisms, and workflow engines
• Optimize performance and reliability of AI-powered applications at scale
• Develop data pipelines for training, evaluation, and monitoring of AI systems
• Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions

What you’ll need:

• Excellent coding skills in Python/TypeScript, with at least 5 years of hands-on experience building reliable backend services, agents and tooling. Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) is a strong advantage.
• Experience designing, deploying, and maintaining production systems that integrate ML components, including APIs, microservices, model serving layers, feature pipelines, monitoring, and CI/CD/MLOps workflows.
• Solid experience with AI related contexts Understanding of prompt engineering and LLM optimization techniques, RAG architecture
• Solid understanding of distributed systems concepts, performance optimization, observability, and operating services at scale.
• Strong communication skills, with the ability to bridge technical, product, and business perspectives.
• Prior experience in cybersecurity, fraud prevention, or identity management is a plus, especially with secure system architectures or ML-augmented decisioning systems.

Advantages

• Experience integrating with LLM APIs (OpenAI, Anthropic Claude, etc.)
• Experience with agent frameworks (LangChain, LlamaIndex, AutoGPT)
• Background in ML/AI concepts and model deployment
• Experience with message queues (RabbitMQ, Kafka) and event-driven architectures
• Experience with function calling and tool use patterns in LLMs

#LI-AM1 #LI-Hybrid 

#LI-TL1 #LI-Hybrid 

HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance—not replace—independent professionals, HoneyBook’s AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter.

Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and have a growth mindset. We know experience comes in many forms, some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually-charged environment and have similar experience to what we are looking for, we encourage you to apply.

Here are a few of the things you will do:

• Play a critical role in HoneyBook’s strategic AI initiatives, influencing product vision and customer experience
• Live and breathe the entire HoneyBook codebase, from the backend bytes to the frontend bits
• Own your features from product design, through tech design all the way to production and customer usage
• Work as part of a Full Stack agile squad, working in high velocity, delivering great quality
• Inspire others. Lead by example and make sure our users get the fabulous experience they deserve

Here is what we’re looking for in a candidate: 

• 5+ years of meaningful experience with backend and frontend development.
• Proficient with backend development framework/s and language/s (RoR, Python, NodeJS etc)
• Proven practical experience developing and deploying features leveraging LLMs, including prompt engineering, evaluation strategies, and performance optimization - Bonus
• Experienced with at least of the following: React, Angular, AngularJS, Vue
• Team player with an awesome attitude: we hire people who want to make a difference.
• Excellent communication skills (Hebrew & English)
• Loves product, loves owning tasks end to end and after they are live, etc.
• AI-driven, passionate about leveraging AI tools and technologies to build smarter, more efficient user experiences.

The good stuff:

Mission-driven: You'll be joining more than just another startup. Our members’ success is at the heart of everything we do. Impact: We move quickly and encourage every employee to push the envelope. Our best ideas come from out-of-the-box thinking and innovation; be ready to fail fast and often! Compensation: We offer a competitive salary and meaningful equity grants. Benefits & perks: From wellness programs to exceptional family leave policies, the health and happiness of our employees are foremost.

Our core values:

People come first: We prioritize people as we explore opportunities and work through challenges.Raise the bar: We push for greatness—for ourselves, each other, and our members.Own it: Trust and ownership let us make decisions with confidence.We love what we do: We bring passion to our work and love what we create for our members.Keep it real: Authenticity, respect, and transparency are at our core.

The opportunity at HoneyBook is huge. Our primary customers today are creative businesses that generate $150B in revenue per year in the US. Founded in 2013, HoneyBook is based in San Francisco and Tel Aviv, has raised $498M, and is funded by Tiger Global Management, Norwest Venture Partners, Aleph, Hillsven Capital, OurCrowd, Durable Capital Partners LP, Vintage Investment Partners, Battery Ventures, Citi Ventures, Zeev Ventures, and 01 Advisors.

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