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08/09/2026
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19/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Forward-Deployed Engineer
About us:
We transform trade contractors' knowledge, documents, and workflows into AI-powered systems. Forward-Deployed Engineers sit alongside our customers - configuring the platform to their workflows, building the bespoke tooling that gets them to value quickly, and bringing real-world feedback back to product and R&D.
Key Responsibilities:
Embed with customers during onboarding and through go-live: workflows, integrations, evaluation
Configure agents and integrations to fit each customer's actual process
Build internal tooling that lets customer success scale
Bring customer truths back to product and R&D - what works, what doesn't, what's missing
Visit jobsites and customer offices regularly.
Requirements:
Strong engineering background with senior-IC experience
Ability to translate ambiguous customer needs into technical implementation
Comfort in front of senior buyers and on active job sites
A real interest in customers - not just a polite tolerance
Bonus
AEC, construction, or vertical-software exposure
Solutions-engineering or forward-deployed background
Experience shaping a customer-facing engineering practice from scratch.
This position is open to all candidates.
 
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23/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Forward Deployed Engineering sits at the frontier of that work. We embed with our most strategic enterprise customers, running on-prem, air-gapped, and heavily regulated environments, and own the technical arc from discovery through production.

Your day might include designing a solution architecture for a high-impact agentic use case, debugging a production routing issue deep in our codebase, deploying a new MCP server with a customer team, or aligning with a CTO on a rollout plan; all in service of outstanding outcomes and rapid time to value for the organizations we work with.

This is a founding function. The first FDEs will define how we conducts field engineering: the standards, playbooks, and technical bar. The work is hands-on, commercially scoped, and high-leverage: youll partner closely with Product, Research, Platform, Security, and GTM, and what you learn in production directly shapes what the core team ships next. If you thrive under ambiguity, make fast and sound decisions when the stakes are high, and get energy from closing the gap between what customers hit in production and what we build next, this role is for you.

In This Role You Will
Own technical delivery across multiple deployments from first prototype to stable production, including core engineering work that unblocks strategic accounts.
Lead deep technical diagnosis and remediation in our codebase and production environments, model routing and gateway behavior, large-PR scaling, multi-pass behavior, performance and reliability issues.
Build customer-specific extensions (MCP servers, agent skills, platform integrations) that deliver immediate value and become durable product capability; upstream them into the main roadmap where appropriate.
Embed closely with customer engineering teams: serve as their senior technical counterpart for hands-on debugging, architecture reviews, and joint implementation.
Scope work, sequence delivery, and remove blockers early; make deliberate trade-offs between scope, speed, and quality to protect delivery timelines.
Partner with Product, Research, and Platform to convert account learnings and eval-driven feedback into roadmap items, specs, and prioritized engineering work.
Codify working patterns into tools, playbooks, runbooks, and reproducible benchmarks that Support and account teams can operate independently and help scale the field engineering function across the organization.
Requirements:
You Might Thrive in This Role If You
Bring 5+ years of experience in a technical, customer-facing role as a Forward Deployed Engineer, a Software Engineer with consulting exposure, or a founder with hands-on deployment experience.
Experience building or consuming MCP servers or agent frameworks.
Have scoped and delivered complex systems in fast-moving or ambiguous environments you know how to sequence work and protect delivery without slowing everything down.
Write and review production-quality code in Python, TypeScript or comparable stacks; you contribute directly in the code when it matters.
Have production experience with LLMs: advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale and you actively stay current with the latest capabilities and implementation patterns.
Have debugged hard problems in live distributed systems under time pressure and can write a postmortem that actually prevents recurrence.
Have shipped integrations that started as customer-specific work and became broadly reusable product capability.
Communicate clearly with engineers and non-technical stakeholders alike; you conduct discovery well, convey technical concepts to diverse audiences, and spot risks early enough to act on them.

Nice to Have
Background in enterprise platform engineering, multi-tenancy design, or large-scale monorepo tooling.
Prior work with model routing, inference infrastructure, or LLM gateway systems.
This position is open to all candidates.
 
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11/10/2026
Location: Tel Aviv-Yafo
Job Type: More than one
Were looking for our first Forward Deployed Engineer (FDE) to join and help build this function from the ground up.
This is a highly technical, hands-on, and customer-facing role. Youll be based in Israel, working closely with our Product and Engineering teams, while traveling regularly across the U.S. to work on-site with our enterprise customers.
Youll work directly with customers to understand their business processes, technical environments, and operational challenges, and translate them into AI-powered solutions. Youll own projects end-to-end - from discovery and requirements gathering through technical design, development, deployment, adoption, and continuous improvement.
As our first FDE, youll have a unique opportunity to define how works with customers from a technical perspective, build the processes and best practices for this function, and play a key role in how we scale customer delivery.
Were looking for a strong engineer with a product mindset who enjoys navigating ambiguity, working directly with customers, and turning complex business problems into scalable technical solutions.
Requirements:
5+ years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, or other highly technical customer-facing roles.
Strong software engineering fundamentals and a deep understanding of software systems and architecture.
Experience working with APIs, integrations, data flows, databases, and complex enterprise systems.
Experience working with AI agents, LLMs, automation platforms, or enterprise AI applications.
Experience leading technical customer engagements from discovery through deployment.
Strong product mindset with the ability to understand customer pain points and translate them into scalable product solutions.
Excellent communication skills and confidence working directly with enterprise customers, engineering teams, and executive stakeholders.
High level of ownership and the ability to independently solve ambiguous technical and business problems.
Comfortable working in a fast-moving startup environment and building processes from the ground up.
Based in Israel and comfortable traveling regularly across the U.S. to work on-site with customers.
Curiosity and passion for AI, automation, and building technology that creates measurable business impact.
This position is open to all candidates.
 
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לפני 1 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Forward Deployed Engineer at Base44, you will operate at the intersection of hands-on engineering, product discovery, and stakeholder execution. We are looking for a mature, highly autonomous builder who can own projects end to end - from initial discovery and workflow mapping to building, deploying, and refining apps.
In this role, you will partner directly with both internal teams and external stakeholders. Youll uncover their operational bottlenecks, translate ambiguous needs into clear solution designs, and use Base44 - paired with hands-on coding to build fully functional apps. Your work wont just solve real world problems, it will test Base44 at its limits and directly influence our core product roadmap.
What youll do
Drive & Own Projects End-to-End: Independently lead initiatives from zero to one-running discovery, mapping workflows, and shipping production-ready solutions without hand-holding.
Build Internal & External Apps: Design and build fully functional applications on Base44 for internal teams and external partners.
Leverage AI & Vibe Coding: Utilize Generative AI and Vibe Coding practices to rapidly build intelligent workflows, automate logic, and accelerate app delivery.
Hands-On Development & Integrations: Combine Base44 capabilities with custom code, APIs, and integrations to build scalable, tailored solutions.
Bridge Stakeholders & Alignment: Act as the primary technical partner for internal units and external stakeholders, driving momentum and aligning business needs with execution.
Stress-Test & Inform Product: Push Base44 to its technical boundaries through ambitious builds, feeding field insights directly back to Product and Engineering to shape our platform roadmap.
Requirements:
4+ years of experience in Forward Deployed Engineering, Technical Product Management, Solutions Engineering, or other highly technical customer-facing roles.
Proven track record of working directly with clients, external partners, or internal business stakeholders to understand operational needs and deliver solutions.
Hands-on coding experience with a strong ability to write clean, functional code.
Solid understanding of modern web application architecture, APIs, integrations, and relational data structures.
Strong product sense and process design skills with the ability to turn ambiguous business needs into functional app designs.
Proven experience building software using modern AI-driven tools, Vibe Coding practices, or low-code/no-code ecosystems.
High autonomy, maturity, and a proactive mindset to lead projects end-to-end from scratch without hand-holding.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are hiring Senior Forward Deployed Engineers - the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.

The Senior Builder Experience

Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.

AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.

Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AI product evolution.

Continuous Innovation: You're expected to stay at the forefront - piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
Requirements:
You're Our Person If...
You have 10+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
You have a degree in Computer Science or a related field
You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery - and the judgment to know when "fast" is the wrong call.
You've mentored technical talent and created reusable assets - frameworks, playbooks, internal tooling.
You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
You actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
Ability to travel to customer sites as needed to ensure client success
High level of proficiency in Hebrew and English.


Even Better If...
Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect).
Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks.
Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.
Track record of influencing enterprise software product roadmaps through field engineering insight.
Open-source contributions, published technical writing, or conference presentations.
This position is open to all candidates.
 
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14/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for our first Forward Deployed Engineer. You'll sit directly with our customers' engineering teams and get their workloads- from the first scoping conversation to a production endpoint carrying real traffic, at a cost and latency profile they couldn't hit anywhere else.
This is an engineering role. You will write code every day, in customer repos and in ours. It also carries pieces of solutions architecture, product management, and pre-sales, and you should want that mix rather than tolerate it. Ambiguous business goals come in; observable, benchmarked, production services go out.
As the founding FDE you also define the function: what a POC looks like, what we promise and measure, which patterns get productized, and how the field feeds the roadmap. The next FDEs will work from what you build here.
What You'll Do
Own customer outcomes end to end: problem framing, evaluation design, migration, deployment, benchmarking, monitoring. You're the technical owner from first call through expansion.
Win the POC: turn a vague objective into a tight spec and a working proof of concept fast, with explicit quality, latency, throughput, and cost-per-token targets - and hit them.
Tune serverless inference for real workloads: model and engine selection, batching strategy, KV cache behavior, speculative decoding, quantization, parallelism, cold-start and autoscaling behavior under bursty traffic. Diagnose regressions down to the inference engine.
Migrate workloads: move customers off OpenAI-compatible APIs, self-managed vLLM, SageMaker, or their own GPU fleets - and prove out the quality and cost delta with numbers.
Guide model strategy: advise on open-weight model selection, distillation, and fine-tuning for specific tasks; help customers get from a general-purpose frontier model to a smaller, faster, cheaper one that holds quality.
Close the product loop: bring the field back into the roadmap - write the PRDs, land the PRs, and turn one-off customer work into platform features.
Be the technical anchor in the room: support sales on complex evaluations, run technical onboarding, earn trust with staff engineers and CTOs.
Requirements:
4+ years building and shipping production software
Inference in production: hands-on experience serving LLMs with vLLM, SGLang, TensorRT-LLM or equivalent, and real intuition for what makes inference fast or expensive.
Optimization fundamentals: working knowledge of batching, KV cache, quantization, speculative decoding, tensor and pipeline parallelism - and the tradeoffs between them.
Model judgment: fluency with the open-weight model landscape and good instincts on model selection for a given task, hardware profile, and latency budget.
Production cloud comfort: containers, Kubernetes, observability, CI/CD. You don't need to be an SRE, but nothing here should be a black box.
Range in the room: you can hold a technical conversation with a skeptical staff engineer and a commercial one with their VP, in the same meeting.
Default ownership: ambiguity, unfamiliar codebases, and a customer waiting on you are the normal conditions of this job, not exceptions.
Bonus Points
Prior forward-deployed, solutions architecture, or applied ML engineering experience at an infrastructure company.
Post-training experience: LoRA, SFT, DPO, RLHF, GRPO, distillation.
GPU-level performance work CUDA, Triton, memory bandwidth and throughput profiling.
Experience selling into or building for regulated, data-sensitive enterprises.
Open-source contributions to inference or serving projects.
You've been the first or second person in a function before.
This position is open to all candidates.
 
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30/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
Strong software engineering and systems integration fundamentals (Python / Node.js, APIs, data).
Hands-on experience with LLMs and AI systems, and comfort using AI tools to move fast yourself.
Proven ability to solve complex problems in legacy or enterprise environments.
Product judgment, structured problem decomposition, and sound judgment under ambiguity.
Clear communication with both engineers and business leaders. Hebrew fluency and strong English.
Genuine energy for customer-facing work and measurable business impact.
This position is open to all candidates.
 
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11/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Software Engineer - Customer Solutions to help customers successfully integrate, configure, and deploy our platform. You will work directly with customers to understand their technical requirements, build integrations, and troubleshoot issues across APIs, data, authentication, and enterprise systems.
This role is ideal for someone who enjoys combining hands-on engineering with customer interaction. We are looking for strong technical fundamentals, curiosity, clear communication, and a practical approach to solving real-world problems.
What Youll Do:
Work directly with customers to understand their technical workflows and integration needs.
Build and configure integrations between our platform and customer systems.
Develop backend services, scripts, APIs, data transformations, and automation workflows.
Investigate technical issues involving APIs, databases, authentication, customer data, and infrastructure.
Participate in customer implementation meetings and help translate business requirements into technical tasks.
Test, deploy, monitor, and support customer-facing solutions.
Document integrations, troubleshooting steps, and implementation decisions.
Work closely with senior engineers and product teams to turn customer-specific needs into reusable capabilities.
Gradually take ownership of increasingly complex customer projects.
Requirements:
Bachelors degree in Computer Science or a related technical field.
1-3 years of software engineering, implementation engineering, technical consulting, or equivalent hands-on experience.
Strong programming fundamentals, preferably using Python, or another backend language.
Apply an AI-first approach to problem solving, leveraging AI tools to accelerate development, debugging, and solution design while maintaining strong judgment.
Basic experience building or consuming REST APIs.
Working knowledge of SQL and relational databases.
Ability to debug technical problems methodically.
Strong communication skills and comfort speaking with technical customers.
Ability to learn unfamiliar systems quickly.
Organized, dependable, and comfortable managing multiple tasks.
Willingness to work across coding, customer communication, testing, deployment, and support.
Nice to Have:
Experience with enterprise software integrations.
Experience with cloud platforms, Docker, CI/CD, or production monitoring.
Experience in cybersecurity, identity, IT systems, or enterprise SaaS.
Previous customer-facing engineering, support engineering, or implementation experience.
This position is open to all candidates.
 
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30/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Head of Forward Deployed Engineering to lead the team that turns our platform into live production systems inside the largest enterprises. You will own a team of 10+ FDEs (and growing), the delivery bar they are held to, and the outcomes they ship.
This is a player-coach role. You set the standard, build the system that enforces it, and stay close enough to the work to review a flow design and call out what's wrong.
What You'll Do
Own delivery outcomes. On-time go-lives, production stability and client satisfaction all land on your desk. You manage by data: delivery metrics, quality signals, escalation rates and client feedback.
Raise the bar. Run a clear performance system with a defined FDE bar, 30-60-90 ramps for new hires, and honest evaluations. Coach the people who can grow. Make the hard calls on those who can't.
Run the operating rhythm. Own the flow review forum, the deployment status cadence, and the on-site schedule across clients.
Grow the team. Own the hiring pipe, from sourcing through a practical interview loop to onboarding that gets new FDEs to independent delivery in 90 days.
Stay in the field. Show up at key clients, especially around go-lives. Your credibility comes from being in the room, not above it.
Requirements:
3+ years managing a technical delivery team such as solutions engineering, professional services or implementation (team of 5 to 15).
Technical depth. You can review a solution design, challenge an integration approach, and understand LLM-based systems well enough to hold a quality bar.
Proven bar-raising. You have inherited a team, defined what good looks like, measured against it, and acted on the results, including the uncomfortable parts.
Comfortable in front of enterprise stakeholders, from steering committees to go-live war rooms.
Clear thinking and clear writing. Hebrew fluency and strong English.
This position is open to all candidates.
 
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06/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an AI Solution Engineer to design, implement, deploy, and operate AI-powered solutions for enterprise customers.

This is a hands-on, multidisciplinary role combining AI, integrations, customer-facing work, and technical problem-solving. Youll work directly with customers from discovery and solution design through implementation, production deployment, monitoring, and optimization.

Youll build solutions including Voice AI Agents, Text Agents, conversational workflows, and AI-powered conversation analysis, while supporting customers using our SaaS platform.

Key Responsibilities
Design, configure, and deploy Voice AI Agents, Text Agents, and conversation analysis solutions.
Translate customer business processes and requirements into working AI solutions.
Own customer implementations end-to-end, from technical discovery and solution design through production deployment.
Integrate us with APIs, CRM systems, telephony/PBX platforms, databases, knowledge bases, and other enterprise systems.
Configure prompts, workflows, business logic, AI models, tools, and integrations according to customer requirements.
Monitor production AI agents, troubleshoot technical issues, perform root-cause analysis, and continuously optimize performance.
Support enterprise customers using the SaaS platform.
Work closely with Product, R&D, Sales, and Customer Success, bringing insights from customer implementations back into the product.
Manage multiple customer implementations simultaneously and take ownership through successful production delivery.
Requirements:
Requirements
2+ years of professional experience in Solution Engineering, Software Engineering, Technical Implementation, Integrations, or a similar technical role.
Hands-on experience with Python and the ability to build scripts, integrations, and technical solutions.
Experience working with REST APIs, webhooks, and system integrations.
Experience working with databases and data-driven applications.
Hands-on experience or strong technical knowledge of Generative AI and LLM-based applications, including prompting and AI workflows.
Strong understanding of SaaS applications and production environments.
Strong troubleshooting and root-cause analysis skills across multiple systems and integrations.
Ability to understand customer business requirements and translate them into technical solutions.
Strong customer-facing and communication skills.
Ability to independently own multiple technical implementations from requirements through production.

Preferred Qualifications
Experience with Voice AI, conversational AI, AI Agents, chatbots, or automation platforms.
Experience with FastAPI, TypeScript, Node.js, or React.
Experience with RAG, Vector Databases, Embeddings, Guardrails, or LLM evaluation.
Experience with telephony and contact-center technologies, including SIP, PBX, VoIP, CTI, or telephony APIs.
Experience integrating with CRM, contact-center, or other enterprise systems.
Experience with Cloud environments, Docker, Kubernetes, or microservices.
Experience supporting customer-facing systems running in production.
Previous experience in a contact center or customer-service environment.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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