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.

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.

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.

Were looking for an Engineering Tech Lead to help drive some of the most strategic technical initiatives at Unframe. This is not a traditional Tech Lead role. Were looking for someone who is deeply technical and highly hands-on, but also knows how to think strategically, lead architecture decisions, and represent the company in front of enterprise customers and senior stakeholders. Youll work across multiple teams and domains, partnering closely with Platform, Product, and Engineering teams to design and deliver AI-powered enterprise solutions at scale. One moment you might be deep in architecture or code, and the next youll be in a room with customer executives helping guide critical technical decisions. We work on site from our offices in Tel Aviv.
What Youll Do:
Lead architecture and technical direction for strategic enterprise AI initiatives
Work directly with some of the worlds largest enterprises to design and deliver scalable AI-powered solutions
Partner cross-functionally with Platform, Product, and Engineering teams across the company
Stay deeply hands-on with the code and engineering teams
Drive complex technical decisions across scalability, reliability, performance, and system design
Help customers solve real production challenges and build long-term technical trust
Design versatile enterprise-grade solutions across different customer environments and use cases
Influence engineering standards, architecture practices, and long-term technical direction
Operate in a fast-moving, high-ownership environment where execution speed matters

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.

we are looking for a passionate and detail-oriented Product Owner & Engineer to join our team. In this role, you will collaborate closely with development teams to define new features, contribute to functional requirement documentation (FRD), and ensure seamless UX design and implementation.
A core part of this role is maintaining close alignment with customers. You will actively engage with customers, gather feedback, understand real-world use cases, and translate their needs into clear product requirements. You will work closely with Support and QA to ensure our testing strategy and supportability reflect actual customer environments and workflows.
Beyond core development, you will assist in critical escalations, manage complex or high-visibility installations, and develop tools that enhance the overall user experience. You will leverage telemetry data, production insights, and direct customer feedback to continuously refine and improve our products, ensuring they deliver measurable value in real-world deployments.
Key Responsibilities
Collaborate closely with Product and Engineering teams to define, refine, and prioritize features that directly address real customer needs and business impact.
Translate customer requirements and field insights into clear, structured Functional Requirement Documents (FRDs), while actively contributing to UX discussions to ensure intuitive and seamless user experiences.
Work closely with QA and Support to align testing strategies and troubleshooting workflows with real-world customer environments, ensuring reliability, operability, and supportability at scale.
Serve as a technical and product focal point during critical customer escalations and high-visibility deployments, ensuring timely resolution and long-term improvements
Develop tools and scripts to enhance user experience and operational efficiency.
Leverage telemetry, usage analytics, and direct customer feedback to drive data-informed decisions and continuously improve product performance and adoption.
Proactively identify risks, gaps, and cross-team dependencies, removing roadblocks to ensure successful delivery and measurable customer outcomes.

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 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.

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.