Foward Deployed Engineer

Forward Deployed EngineerBuild AI that works in the real world.

Callex is building the next generation of Voice AI for businesses.

Our AI agents handle real customer conversations, integrate directly with business systems, and operate in production at scale.

We are looking for an exceptional Forward Deployed Engineer to own customer deployments end-to-end — from understanding how the business works to getting Callex live, stable, and delivering real value.

Your mission is simple:

Understand the customer’s operation.

Build the right solution.

Get it live.

Make sure it works.

You will work directly with customers, configure AI agents, connect external systems, solve technical and operational problems, test real conversations, and continuously improve deployments based on what happens in production.

There is no traditional handoff.

You own the technical outcome.

A deployment is not complete when the configuration is finished.

It is complete when the customer is successfully using Callex in production.

Lead implementations from the first technical conversation through:

Discovery → Solution Design → Integration → Testing → Go-Live → Optimization

You will understand what success means for each customer and take responsibility for getting there.

Learn how each customer actually operates.

You will map:

• Call flows
• Business rules
• Edge cases
• Escalation paths
• Internal systems
• Operational constraints

Then turn complex, messy processes into clear AI workflows.

Build and continuously improve production Voice AI agents.

You will work with:

• Prompt design
• Conversational logic
• LLM behavior
• Tool calling
• Knowledge and context
• Guardrails
• Escalation logic
• Testing and evaluation

You should be comfortable listening to real calls, spotting failure patterns, and iterating until the experience is excellent.

Connect Callex to the systems customers already use.

This may include:

• REST APIs
• Webhooks
• CRM systems
• Databases
• Scheduling platforms
• Internal systems
• Telephony infrastructure
• SIP / VoIP
• Contact-center platforms
• Legacy systems

Sometimes the integration will be straightforward.

Sometimes nothing was designed to work together.

You will figure it out.

Real-world AI is not a demo.

You will investigate and solve:

• Failed conversations
• Integration issues
• Unexpected agent behavior
• Edge cases
• Latency problems
• Production incidents

You should be comfortable reading logs, inspecting API requests, debugging workflows, reproducing issues, and finding practical solutions quickly.

You may spend the morning debugging an integration and the afternoon meeting with a CEO, operations manager, call-center manager, or technical team.

You need to communicate clearly with both technical and non-technical stakeholders.

Customers should feel that when you own their deployment, someone is personally responsible for making it successful.

We care more about how you think and operate than how many boxes you check on a traditional CV.

You:

• Take extreme ownership
• Learn extremely fast
• Are highly technical and hands-on
• Enjoy solving ambiguous problems
• Understand business problems, not only technical requirements
• Can work without a detailed playbook
• Make decisions independently
• Don’t stop at “it technically works”
• Naturally investigate why something failed
• Move fast without being careless
• Communicate confidently with customers
• Can manage multiple implementations simultaneously
• Thrive in a fast-moving environment

You are the type of person who hears:

and figures out everything required to make it happen.

You should have strong technical intuition and be comfortable with modern software systems.

Experience with some of the following is expected:

• APIs and webhooks
• JSON / HTTP
• Python, JavaScript / TypeScript, or similar
• Databases and SQL
• Logs and debugging
• Cloud applications
• Authentication
• External integrations

You do not need to be an expert in everything.

What matters is your ability to understand unfamiliar systems quickly and become productive without constant guidance.

Experience with any of the following is a strong plus:

AI

• Voice AI
• Conversational AI
• LLM applications
• Prompt engineering
• AI agents
• STT / TTS

Telephony

• SIP / VoIP
• Telephony platforms
• Call-center systems

Implementation

• CRM integrations
• Workflow automation
• SaaS implementation
• Solutions Engineering
• Forward Deployed Engineering
• Enterprise deployments
• Customer-facing technical roles

You are succeeding when:

• Customers move from kickoff to production quickly
• Deployments are stable in real-world conditions
• Problems are solved before they become recurring issues
• Customers trust you technically and operationally
• AI agents improve continuously after launch
• One-off integrations become repeatable systems
• Lessons from customers improve the Callex product

Your success is measured by customer outcomes — not by tickets closed or lines of code written.

• Strong technical and problem-solving ability
• Ability to work directly with customers
• Ability to independently own technical projects
• Comfortable working with APIs and integrations
• Strong debugging and analytical skills
• Fluent Hebrew
• Strong working English
• High level of accountability and self-management

A Computer Science or Engineering degree is welcome, but exceptional practical experience matters more.

Full-time · Petah Tikva · Hybrid

You will work directly with customers, AI systems, production environments, and product decisions.

You will have meaningful responsibility from day one and direct influence on both customer outcomes and the evolution of the Callex platform.

• If you want to work on AI that has to perform in the real world — not just in a demo — this role is for you.