עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
25,000-35,000 ₪
Required Software Engineer - Al Platform
What this role is really about:
You're building our AI platform. The internal system that powers AI capabilities across Product, Customer Success, Sales, Operations, Data, and IT.
This is a full-stack role where you'll own features end-to-end: design React interfaces for AI workflows, build Lambda functions that orchestrate multi-agent processes, integrate with enterprise systems (Salesforce, Workato, Snowflake), and optimize costs and performance at scale. You'll work with cutting-edge AI while building production-grade systems that handle real business operations.
If you want to build something that directly enables business growth, work across the full stack with modern tech, and have ownership over a platform that the entire company depends on, this is your opportunity.
Job responsibilities:
Build core AI platform services - Design and implement agent orchestration, prompt management, RAG, Connectors, and evaluation pipelines that power AI experiences across the company.
Develop complex agentic process - Develop a multi-step workflow that coordinates tools and services with proper observability, guardrails, and cost controls (using OpenAI Agent SDK, LangGraph, or a similar framework).
Build LLM evaluation and optimization process -Develop evaluation harnesses, offline/online experiments, prompt-testing frameworks, and dashboards to balance quality, latency, and spend across all AI services.
What this role is really about:
You're building our AI platform. The internal system that powers AI capabilities across Product, Customer Success, Sales, Operations, Data, and IT.
This is a full-stack role where you'll own features end-to-end: design React interfaces for AI workflows, build Lambda functions that orchestrate multi-agent processes, integrate with enterprise systems (Salesforce, Workato, Snowflake), and optimize costs and performance at scale. You'll work with cutting-edge AI while building production-grade systems that handle real business operations.
If you want to build something that directly enables business growth, work across the full stack with modern tech, and have ownership over a platform that the entire company depends on, this is your opportunity.
Job responsibilities:
Build core AI platform services - Design and implement agent orchestration, prompt management, RAG, Connectors, and evaluation pipelines that power AI experiences across the company.
Develop complex agentic process - Develop a multi-step workflow that coordinates tools and services with proper observability, guardrails, and cost controls (using OpenAI Agent SDK, LangGraph, or a similar framework).
Build LLM evaluation and optimization process -Develop evaluation harnesses, offline/online experiments, prompt-testing frameworks, and dashboards to balance quality, latency, and spend across all AI services.
Requirements:
5+ years of hands‑on software engineering experience building production systems at scale.
Strong proficiency in Python, with Practical knowledge of databases.
Strong grounding of LLM/AI application patterns (RAG, tool use, function calling, guardrails) and vendor APIs (OpenAI or similar).
Experience with vector store (pgvector, Pinecone, OpenSearch), feature/semantic layers, or retrieval pipelines
Familiarity with: eval frameworks, prompt/version management, offline/online A/B testing, and cost/latency optimization.
Clear written and verbal communication; able to drive alignment with concise design docs and reviews.
Nice to have:
Experience building developer platforms or internal tooling
Hands-on experience with model optimization, fine-tuning, or distillation techniques.
Deep experience with cloud infrastructure (AWS), containers (Docker, Kubernetes), and distributed systems.
Frontend development frameworks such as React.
Background in SaaS/enterprise environments with compliance requirements (SOC2, GDPR).
5+ years of hands‑on software engineering experience building production systems at scale.
Strong proficiency in Python, with Practical knowledge of databases.
Strong grounding of LLM/AI application patterns (RAG, tool use, function calling, guardrails) and vendor APIs (OpenAI or similar).
Experience with vector store (pgvector, Pinecone, OpenSearch), feature/semantic layers, or retrieval pipelines
Familiarity with: eval frameworks, prompt/version management, offline/online A/B testing, and cost/latency optimization.
Clear written and verbal communication; able to drive alignment with concise design docs and reviews.
Nice to have:
Experience building developer platforms or internal tooling
Hands-on experience with model optimization, fine-tuning, or distillation techniques.
Deep experience with cloud infrastructure (AWS), containers (Docker, Kubernetes), and distributed systems.
Frontend development frameworks such as React.
Background in SaaS/enterprise environments with compliance requirements (SOC2, GDPR).
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
רעננה
אונליין
אונליין
8 חודשים
סבסוד
