Foward Deployed Engineer
פורסם לפני 6 ימים · 0 מועמדים
התפקיד במילים פשוטות
תפקיד זה כולל הובלה מקצה לקצה של הטמעת סוכני בינה מלאכותית קוליים עבור לקוחות החברה. העבודה היום-יומית כוללת אפיון תהליכים עסקיים, הגדרת לוגיקה ופרומפטים ל-AI, חיבור למערכות חיצוניות דרך APIs, ופתרון תקלות בסביבת ייצור. בעל התפקיד עובד ישירות מול הלקוחות כדי להבטיח שהמערכת עובדת באופן יציב ומספקת ערך בפועל.
- Strong technical and problem-solving ability
- Ability to work directly with customers and communicate with stakeholders
- Ability to independently own technical projects and deployments end-to-end
- Comfortable working with APIs, webhooks, and integrations
- Strong debugging and analytical skills
- Experience with AI/LLM applications, Voice AI, or prompt engineering
- Degree in Computer Science or Engineering
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים לאנשים טכניים מאוד בעלי יכולת לימוד עצמי גבוהה, עבודה מול לקוחות ויכולת לפתור בעיות מורכבות בסביבה דינמית. הוא פחות מתאים למי שמחפש תפקיד פיתוח טהור ללא מגע עם לקוחות או עבודה לפי תסריט מוגדר מראש.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןForward 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. The Role 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. What You’ll OwnCustomer Deployments 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. Business Workflows 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. AI Agents 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. Integrations 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. Production 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. Customers 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. Who We’re Looking For 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: “We need this customer live.” and figures out everything required to make it happen. Technical Background 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. Strong Advantages 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 What Success Looks Like 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. Requirements • 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. Working at Callex 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.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- היברידי
- Strong technical and problem-solving ability, Ability to work directly with customers and communicate with stakeholders, Ability to independently own technical projects and deployments end-to-end, Comfortable working with APIs, webhooks, and integrations, Strong debugging and analytical skills