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abra is seeking a AI Developer & Implementation Specialist! abra is seeking a ?AI Developer & Implementation Specialist to join its AI team and lead the development and implementation of advanced AI solutions across the organization’s enterprise systems. The role combines hands-on development, business understanding, solution architecture, and integration with core business systems. Key Responsibilities
* Develop and implement end-to-end AI solutions, from understanding business needs to production deployment.
* Develop intelligent AI agents and automate business processes.
* Build LLM-based solutions, including RAG, prompt engineering, and agent orchestration.
* Develop API-based integrations with enterprise systems such as Salesforce, ERP systems, and databases.
* Work with structured and unstructured data, documents, and enterprise information sources.
* Design and develop backend services that support AI solutions.
* Perform testing, monitoring, optimization, and performance improvements.
* Collaborate closely with business stakeholders, development teams, infrastructure teams, information security teams, and external vendors. Location : Bnei Ayish

Every AI-powered data analysis or coding at our company depends on one thing: trustworthy, always-current data. You'll help build the agentic Org Brain that makes that possible - a company-wide context layer and data catalog that both engineers and AI agents rely on to understand what's true across our company. You'll join Data Services, a domain squad within our company's Big Data and Analytics Platform group, based in Vilnius, focused on solving these problems and more at scale.
Take end-to-end ownership of the platforms that power our context store and data catalogs, from data ingestion to agentic search and serving.
Work hands-on across the full stack, partnering with cross-functional teams to keep pace with fast-evolving AI needs.

We're looking for a highly motivated, curious, and dynamic Technical Support Team Lead to join our growing Customer Care group. This is a unique opportunity to play a pivotal role in a fast-paced, cutting-edge AI product environment. As a leader with a builder mindset, you won't just manage a team. You'll bridge technical support, product, and engineering, and help shape how our users build software with AI.
What you'll do
Manage the team queue and prioritize tickets based on urgency and SLAs, protecting the user experience with top-quality, high-touch support
Use support data and KPIs to identify bottlenecks, optimize team workflows, and continuously improve support quality
Foster personal and technical career development, mentor technical experts to excel, and help them take ownership and grow
Act as a key feedback loop by translating user roadblocks and data insights into actionable product improvements and bug priorities, alongside R&D and Product teams
Take full ownership in a fast-paced, young, and evolving organization: shape your role, propose new initiatives, and drive cross-functional projects.

Maybe youve been posting your own content and realized people are paying attention. Maybe youve built something on the web for yourself, for a friend or just to try an idea out. Maybe youre obsessed with AI and always looking for the next trends and products to try them out yourself. If you know how to get people excited about what you build - this is exactly the program for you.
Over 2 days, youll experience what its like to work at Base44. Youll build with other marketers and take on a real project alongside our team, showing us what you do best. Along the way, youll get expert feedback, create portfolio-ready work and have a shot at a full-stack marketing role.
You dont need to call yourself a marketer. You need to turn ideas into something real and know how to get people to care. Were looking for early-career talent from any background, whether formally trained, freelance or self-taught.
Key dates
Applications open: November 1, 2026
Applications close: November 8, 2026
Program: November 29 to November 30 ,2026
Start date if hired: December 2026 or January 2027, based on your availability.

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of our users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team
Compensation and Benefits:
Along with competitive pay, as a full-time employee, you are eligible for the following benefits:
Yearly Bonus and RSU grants based on performance
Online\On-Site Courses, attend public conferences, and many other growth and learning opportunities.
Health Insurance
Gym, Pilates, Yoga, and others
Cibus\10Bis
Tickets to our sponsored team's games
Social events
Where you'll be:
We offer a hybrid work policy : 3 on-site plus 2 flexible days.
Work is located at the Tel Aviv R&D Center.

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of our users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team
Compensation and Benefits:
Along with competitive pay, as a full-time employee, you are eligible for the following benefits:
Yearly Bonus and RSU grants based on performance
Online\On-Site Courses, attend public conferences, and many other growth and learning opportunities.
Health Insurance
Gym, Pilates, Yoga, and others
Cibus\10Bis
Tickets to our sponsored team's games
Social events
Where you'll be:
We offer a hybrid work policy : 3 on-site plus 2 flexible days.
Work is located at the Matam, Haifa R&D Center.

Senior Full-Stack Engineer (Front-End Focus) - Founding Team
About the role
Own the two surfaces our customers live in: a real-time coaching extension that renders inside live sales calls, and the manager dashboard where revenue leaders judge their teams - and us. You'll be the front-end owner on a seven-person engineering team, reporting to the engineering lead, at a company one month into go-to-market with live pilots and paying clients.
The bar is the one you know from the best Israeli B2B products: an interface a paying customer trusts on first contact.
A word of honesty:
Our front-end is the product's moment of truth, and right now it doesn't always meet our bar. We know this precisely, because we track it: coaching cards that appear a beat too late or vanish before the rep can read them, dashboard numbers that don't reconcile across views, filters that look applied but aren't, state that resets on refresh. In a B2B product sold to revenue leaders, every one of those is a critical bug - a manager who catches one wrong number stops trusting all of them. We're not hiring someone to add features on top of this. We're hiring the person who makes "the UI is simply correct" a property of the system.
There's also a hard environment problem most front-end roles never face: our main interface renders inside other people's products. The extension lives in Google Meet and Zoom - pages we don't control, that change without notice, under Manifest V3 constraints, with versions in the field we can't force-update. Shipping reliable UI there is real engineering, not pixel-pushing.
You'll work in an engineering team of seven. Priorities shift when a pilot lands. You'll watch recordings of customers using your UI and feel the misses personally. If you need a design system handed down and a QA department behind you, this is the wrong role. If your instinct on seeing a flickering card is to fix the state model, not the CSS - read on.

Required Senior Backend Engineer - Founding Team
About the role
Own the real-time backend of an AI sales coaching platform that's live, growing 2 week-over-week, and one month into go-to-market. You'll be the second backend engineer in a team of five, working directly with the head of engineering and CEO - building the systems that decide whether the product works: live audio pipelines, LLM orchestration under millisecond budgets, and the engine that turns real sales calls into personalized AI training.
We just found go-to-market fit. Now the backend has to keep up with it. That's where you come in.
A word of honesty:
This is an early-stage role at a small startup in its hardest, most exciting phase, and we'd rather you know exactly what that means before you apply.
You will own large parts of the backend, and ownership here is literal: you'll design it, build it, ship it, and get woken up by it. When a customer's live call drops audio, you'll trace it through the WebSocket, the event loop, and the LLM pipeline yourself. Some of our hardest problems aren't exotic - they're the unglamorous ones every fast-moving team accumulates: a background job that fails without telling anyone, a coaching signal that lands a beat too late, a regression that a replay test should have caught. We know exactly where it hurts, and we're hiring the person who ends it - not the person who files a ticket about it.
If you spent the last few years at a company like Wix or Monday, you already know what excellent engineering looks like at scale - strong typing, clean async code, real observability. What you may not have had recently is the feeling that your work visibly moves the company every single week. Here it does. The trade is real: less process and certainty, far more impact and speed. If that trade excites you rather than worries you, keep reading.

Build, operate, and improve production infrastructure, with a focus on AWS, Kubernetes, and CDN and caching systems.
Troubleshoot complex infrastructure issues across Linux, networking, Kubernetes, and content delivery.
Automate infrastructure provisioning and configuration management to make deployments consistent and reliable.
Develop monitoring and alerting, investigate production incidents, and implement improvements that prevent recurrence.
Collaborate with development, support, and QA teams to improve infrastructure reliability and performance.
Propose and implement improvements that benefit our infrastructure, teams, and users.
Participate in the teams on-call rotation to resolve production incidents and restore service availability.

We're hiring the person who will own our R&D- engineering, QA, and applied AI research - as a founding-team hire.
That means all of it: what we build and how, the quality bar and how we enforce it, the AI architecture and the research that keeps it ahead, who we hire, and when we're ready to ship. You'll inherit all three functions, decide what they should look like at 3x, and build that.
You'll report directly to the founder and work alongside our Lead PM, who owns product direction and roadmap. You own how it gets built, how good it is, and how fast it moves.
A word of honesty:
This is a founding-team role at an early-stage company, which means it is hands-on. You will get into the code. You will run the QA passes yourself, on the things that matter most, even though QA isn't your only job. You will test a video session on a bad connection at 9pm because a launch depends on it. You will make calls with incomplete information and live with them. You'll lead R&D, but you'll lead by doing, not by directing. If you want a purely strategic seat with people beneath you to execute, this is the wrong role. The reverse is just as true: this is not a senior engineering job with a bigger title on it. You'll be managing people, hiring them, and answering for their work, and there's no technical leader above you to learn that from. If you haven't done it before, this isn't the place to start. If you want to own the hardest, most consequential technical problems in the company and see them through, read on.
What you'll own:
Reliability of realtime AI agents, audio and chat sessions on a user's old laptop and a sales rep's poor wifi, not just a developer's machine.
Turning a launch-phase codebase into one a growing team can work in safely.
The quality bar for everything that ships. We have a QA function today, not a QA department - part of this role is deciding what it should become, and how much of it is people versus automated test infrastructure. We don't have a fixed answer; you'll set it.
End-to-end quality of the booking-and-payments flow, including the failure paths most teams skip.
Security and privacy of sensitive sales conversation data - the controls that keep us defensible, and an independent security review you can run yourself.
The AI and agent architecture: what models, what orchestration, what runs on-device versus in the cloud, and how we stay ahead as the underlying models move.
Evaluation as a discipline - you own how we know whether the coaching is actually getting better. The evals, the benchmarks and the harnesses that tell us a change is real and not a vibe, on a product where the output is a judgment call rather than a right answer.
Turning research results into shipped product, not internal demos.
Hiring, structure and standards across all three functions.
A delivery cadence the company can plan around.

If you want to work where AI, developer tools and the entire our company platform meet, this team is for you. We're building how our company sites are extended with code in the age of Vibe Coding: an orchestration layer, an AI agent that writes code, and an IDE built into our company products.
You'll be a true xEngineer here, working on frontend, backend and AI agents. You'll own complex systems that touch almost every part of the company Developer Platform, and along the way you'll learn how our company works as a whole.
Build and evolve the Studio 2 Orchestrator - connecting Developer Platform components such as Remote Machine, Code Store, BaaS, our company CLI and Dev Center into one smooth development experience
Develop our company Code Codegen, an AI agent that generates production-ready code for our companys new generation editors - Studio 2 and Harmony
Build the IDE Platform, a reusable VS Code-based React component used in Studio, Velo and our company Vibe
Own features end to end across the stack, from React UIs to backend services and from architecture through production
Work with Developer Platform teams and core our company teams (Editors, Viewer, MetaSite and more) to design solutions that span systems
Help decide how the company Developer Platform should work in the world of Vibe Coding.

As a DevOps Engineer at our company, youll play a pivotal role in our cloud infrastructure group, driving the development, optimization, and maintenance of our cloud-based infrastructure. You will:
Design, implement, and maintain high-scale production cloud infrastructure solutions for availability, performance and resilience
Implement and maintain Infrastructure as Code (IaC) practices to ensure consistency and efficiency in deployment processes
Use your expertise in Linux and networking to enhance system performance, security, and reliability
Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud solutions
Troubleshoot and resolve complex issues related to cloud infrastructure and services affecting millions of users.

Join FED Core as a hands-on technical leader shaping the development experience of engineers across our company.
Youll set technical direction, lead complex cross-company initiatives, and personally build the infrastructure and tools that help our company engineers develop, test, integrate, and deliver software faster. While our expertise is rooted in the frontend ecosystem, our impact spans our companys entire engineering organization and crosses TypeScript, Node.js, Scala, Java, and the systems connecting them.
In this role, you will:
Shape the technical vision and architecture for developer infrastructure used across our company
Identify friction and velocity killers throughout the development lifecycle, then turn them into simple, scalable solutions
Lead high-impact initiatives from early exploration and technical design through implementation, adoption, and production
Remain deeply hands-on, investigating problems, writing code, building prototypes, and improving existing systems
Create tools and workflows that connect development across repositories, services, pull requests, local environments, and production
Drive AI-native engineering practices by exploring new capabilities and turning them into practical, everyday developer experiences
Work across organizational and technological boundaries, bringing the right people together and moving complex initiatives forward
Influence engineering standards and practices through technical expertise, strong judgment, and demonstrated results
Collaborate closely with infrastructure teams, product engineering groups, and developers across our company to understand their needs and deliver meaningful improvements
Mentor engineers and raise the technical bar without formal people-management responsibilities.

As a Product Analyst, you'll play a key role in shaping and driving data-driven decisions for Base44. This high-impact, fast-paced role is focused on building a new product category, requiring a proactive problem-solver who thrives in a dynamic environment.
In your day-to-day, you will:
Lead end-to-end product analysis across the Base44 user journey- from onboarding and activation to feature adoption, retention, and app monetization
Own the data lifecycle from clarifying core product questions to ensuring data quality, user behavioral tracking, and delivering actionable product insights
Challenge the why and how of product features, driving data-informed decisions that shape the product roadmap
Deeply understand user behavior by identifying patterns, churn risks, and anomalies across different cohorts and user segments
Enable high-velocity decision-making by building trustworthy dashboards and self-serve reporting tools for Product Managers, Designers, and Leadership
Leverage state-of-the-art AI tools (including Claude, ChatGPT, and LLM-assisted workflows) to accelerate data processing, automate insights generation, and enhance product experimentation.