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our company builds the production-grade AI backbone for top-tier enterprises. We don't just wrap LLMs. Our platform autonomously handles mission-critical workflows, replacing operational friction with seamless, predictive experiences. We are a lean, engineering-driven company working directly with the biggest players in the market.
An FDE at our company is a customer-embedded engineer who owns the technical success of an AI deployment end to end. You don't advise and hand implementation to someone else. You are the implementation owner. You take an ambiguous business problem, break it into solvable technical components, build the solution on our platform, and stay with it until it works reliably in production.
What You'll Do
Own deployments end-to-end. From signed deal to production go-live and stabilization. No hand-offs.
Build production AI agents. Design and ship agent flows on our platform: prompt engineering, orchestration, edge cases, and the testing discipline that makes them production-grade.
Integrate into brownfield reality. Legacy systems, APIs, CRMs, telephony and customer infrastructure, while navigating security, compliance and incomplete requirements.
Debug in environments you don't control. When production misbehaves inside the customer's stack, you find it and fix it.
Push back with judgment. Challenge poor requirements, find creative alternatives, and align technical and business stakeholders behind them.
Be embedded with customers. On-site several days a week during active deployments, often as the most senior technical person in the room. On-site days carry dedicated compensation on top of your salary, and every production go-live carries a milestone bonus.

We are looking for a Principal Engineer who lives at the frontier of AI,
someone who can envision and build autonomous agents that reason about complex infrastructure, make intelligent decisions, and execute large-scale migrations with minimal human intervention. This is a rare opportunity to define the architecture of an AI-native platform from the ground up.

Key job responsibilities

Define and architect the technical vision for an Agentic AI migration platform, where autonomous agents discover, plan, and execute full data center exits.

Design and build multi-agent systems that leverage foundation models, chain-of-thought reasoning, and tool-use patterns to solve complex migration challenges.

Architect AI-powered network transformation capabilities, using generative models to analyze, replicate, and optimize enterprise network topologies.

Provide technical leadership across 4 scrum teams, instilling an AI-first engineering culture and ensuring architectural coherence across agent frameworks.

Drive innovation in agentic orchestration to continuously improve autonomy and accuracy for migration of servers, storage, networks, and applications.

Mentor senior engineers on AI-native development practices and cultivate a culture of rapid experimentation, spec-driven engineering, and high velocity releases on Brownfield projects.

BIRD Aerosystems is seeking a Senior Systems Engineer for our System of Systems project, focused on developing innovative aerospace solutions. You will lead systems integration efforts and ensure seamless functionality across various systems. Responsibilities:
* Own the systems engineering of a complex System of Systems (SoS), maintaining the overall system-level view across multiple interconnected systems and subsystems.
* Translate operational and customer needs into system architecture, clear and verifiable requirements, and system and interface specifications.
* Define and manage interfaces and cross-system dependencies across radar, electro-optic, software and hardware teams.
* Lead system integration, verification and validation activities, including system-level troubleshooting and resolution of technical issues, and participate in field integration and test campaigns (ground and live-fire test events).
* Identify system risks, interface gaps and integration challenges early, and drive technical solutions with the relevant engineering teams.
* Participate in and contribute to system design reviews (SRR, PDR, CDR) and technical trade-off studies from a System of Systems perspective.
* Serve as the technical focal point for system-level and cross-system topics, working closely with multidisciplinary engineering teams and reporting key progress, risks and decisions to the Head of Systems Engineering.

We are looking for a Product-Driven Senior Full Stack Engineer who wants to do more than build features from a backlog. In this role, you will own entire product surfaces end-to-end - from concept to production - shipping AI-powered features that users actually touch.
Youll work directly with LLMs, APIs, and modern full-stack technologies to build experiences that feel polished, fast, and intelligent.
If you care about how something works as much as that it works, and you want to shape products that matter, this role is for you.
What Youll Do
Own features end-to-end: Design, build, and ship complete product experiences - frontend, backend, and AI integration. No hand-offs.
Build with AI: Integrate LLMs and AI APIs into real product workflows, including prompt engineering, API orchestration, and intelligent UX patterns.
Ship with taste: Make decisions about UX, polish, and user experience. Attention to detail matters.
Move fast: Work in short cycles, ship to production, learn from real users, and iterate.
Make calls: Operate with autonomy and make decisions even when information is incomplete.

Key job responsibilities
* Daily involvement in all aspects of physical design chip development (RTL2GDS), including floorplanning, synthesis, clock tree synthesis, place and route, static timing analysis, power and noise analysis, physical verification testing, and equivalence checks.
* Being actively engaged in design-backend convergence aspects and defining timing constraints.
* Taking full end-to-end responsibility for the physical design of macros and clusters level, according to specifications, under challenging constraints, with focus on optimizing power, area, and performance.
* Participation in the development of design flows, using a variety of EDA tools and vendors such as Synopsis and Cadence.
* Engaged in defining implementation and signoff methodologies.

we are expanding exponentially. This role owns the design, implementation, and governance of the companys core operating processes: identifying inefficiencies, closing ownership gaps, and building the playbooks, benchmarks, and metrics that keep the business running. The role also owns customer quality and account expansion tracking, and reports directly to the CEO on operational and strategic performance.
Key Responsibilities
Process diagnosis: Identify operational inefficiencies, bottlenecks, duplicated effort, and unclear ownership before they escalate.
Process design: Build and maintain the playbooks and SOPs the company uses, and retire those that are obsolete.
Operational strategy & benchmarking: Research industry and competitor practices, and translate findings into strategy recommendations for the CEO.
Customer quality & expansion: Own the metrics for customer satisfaction and service quality, and the process for converting healthy accounts into upsell and expansion revenue.
Change management & audits: Run operational audits, drive fixes to closure, and lead adoption of new processes with function leads.
Metrics & reporting: Track the operational, customer, and growth metrics that matter, and report on business health directly to the CEO.
Process Scope
Process ownership spans the operating model end to end: customer lifecycle and expansion, cross-org handoffs (e.g., Product-Sales, Sales-Marketing), people lifecycle (onboarding, reviews, leveling), OKR cadence, communication and knowledge management, feedback and continuous improvement, vendor and compliance operations, and domain ownership mapping.

As a Project Manager at our company, you will be responsible for managing the successful execution of large scale pilot launches and ongoing relationships with our clients worldwide.
You will work closely with internal cross-functional teams, including Sales, Field Engineering, Support, Product, and R&D to ensure that all pilot milestones are achieved on time, in accordance with our contractual obligations, and to the clients satisfaction.
This is an excellent opportunity for a highly motivated, business-oriented, individual looking to continue their career in project management at a global growing startup thats revolutionizing the restaurant industry.
This is a hybrid position - our offices are based in Tel Aviv.
Key Responsibilities:
Get things done: Be the internal lead for successful pilot execution. Liaise with all internal stakeholders, technical, sales and operations to get things done, on time and within budget.
Lead our pilots to success: Serve as the main point of contact and escalation point for external corporate clients, providing regular updates on progress, addressing concerns, setting timelines, and managing realistic expectations and deliverables.
Be the face of our company: Lead all internal and external meetings. You will represent our company to our external corporate clients.
Continuous Improvement: Contribute to process improvement initiatives, sharing insights and suggestions to enhance project management practices within the company. Identify organizational learning opportunities for continuous improvements.
Manage a remote team: Lead, mentor, and motivate a remote customer success team, fostering a culture of collaboration, accountability, and exceptional customer focus.
Build relationships: Build lasting professional relationships with customers to create the right trusted environment for a successful joint project execution and business expansion.

we are looking for a Senior Full Stack Engineer.
What you'll do:
Own features end to end: design, build, ship, and run them in production.
Work closely with product on what to build, with a say in scope and priorities.
Own the operational side: DevOps, automation, and tooling sit with the engineers who build the product, not a separate team.
Build AI capabilities into the product and own how they behave in production.
Orchestrate coding agents across the SDLC and in daily work, and raise the velocity and quality of what the team ships.
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