Job VC
AI Technical Lead
Technologies
Description
Project:
A bootstrapped Israeli startup building a platform that integrates AI employees as native members of mid-sized organizations. AI agents function as full team members, equipped with their own communication channels (Slack, WhatsApp, email, SMS, voice), connected to business tools such as Salesforce, Google Workspace, and Zoom, and capable of participating in meetings.
The platform is both model-agnostic and ecosystem-agnostic, designed specifically for non-technical users with a no-code, user-friendly approach.
The company already has a working MVP, paying customers, and is currently preparing for a funding round. The founding team brings more than 20 years of experience in AI and machine learning.
Cooperation:
long-term engagement, full-time.
Stage:
New project. MVP is ready; currently scaling to production ahead of a fundraising round.
Position:
New role. First hire from 8allocate — the Tech Lead will subsequently help recruit the rest of the team (2 backend engineers, 1–2 QA).
Timezone requirements:
European timezone. Client is based in Israel (UTC+3); overlap with EU working hours is expected.
Location requirements:
Remote. Ukraine and other Eastern European locations.
English:
Upper-Intermediate or higher.
Tech Stack:
Languages: Python (primary), JavaScript / Node.js.
AI/ML: LangChain, LangGraph, LangSmith, LangFuse, Claude/Anthropic.
Frontend: React/Next.js (secondary priority).
Infrastructure: Docker, CI/CD, cloud-agnostic (AWS + GCP).
Integrations: Salesforce, Google Workspace, Zoom, Slack, WhatsApp, email, phone APIs.
Architecture: Multi-agent orchestration, RAG, MCP, embeddings, smart model routing.
Requirements:
5+ years of hands-on experience building AI systems in production (recent AI, not legacy ML)
Production experience with LangChain / LangGraph (mandatory)
Experience with multi-agent orchestration patterns (planner-executor, supervisor, handoff)
Knowledge of RAG, MCP, embeddings, prompt design, and context management
Strong Python; JavaScript / Node.js as secondary
DevOps-capable: CI/CD, Docker, monitoring, logging, DB migrations
Experience testing non-deterministic LLM systems (evals, golden datasets)
Experience integrating with SaaS platforms (Salesforce, Google Workspace, Slack, etc.)
Security best practices: auth/authz, secrets management, OWASP Top 10, LLM-specific risks (prompt injection, tool abuse)
Awareness of SOC 2 / GDPR
React / Next.js — advantage (secondary priority)
Startup mindset: comfortable with ambiguity, end-to-end ownership, fast context-switching
Responsibilities:
Design and build multi-agent systems using LangChain/LangGraph in production
Scale the existing MVP to production: monitoring, auto-scaling, error handling, performance optimization
Build and maintain integrations with SaaS platforms and communication channels
Own the full DevOps ecosystem: CI/CD, Git workflows, DB, backups, logging
Establish testing discipline, including LLM evals and regression suites
Implement security by default
Participate in recruiting and mentoring backend engineers and QA
Provide technical advisory to the client: architectural decisions, technology choices
Benefits from 8allocate:
Team & Culture: Team events, offsites, and a culture that keeps people connected.
Learning & Development: Budget for courses, certifications, and conferences.
Wellbeing: Flexible support in line with company policy, with options to support your physical and mental wellbeing (sport, mental health, or medical insurance).
Rest & Recovery: Paid vacation and sick leave.
A bootstrapped Israeli startup building a platform that integrates AI employees as native members of mid-sized organizations. AI agents function as full team members, equipped with their own communication channels (Slack, WhatsApp, email, SMS, voice), connected to business tools such as Salesforce, Google Workspace, and Zoom, and capable of participating in meetings.
The platform is both model-agnostic and ecosystem-agnostic, designed specifically for non-technical users with a no-code, user-friendly approach.
The company already has a working MVP, paying customers, and is currently preparing for a funding round. The founding team brings more than 20 years of experience in AI and machine learning.
Cooperation:
long-term engagement, full-time.
Stage:
New project. MVP is ready; currently scaling to production ahead of a fundraising round.
Position:
New role. First hire from 8allocate — the Tech Lead will subsequently help recruit the rest of the team (2 backend engineers, 1–2 QA).
Timezone requirements:
European timezone. Client is based in Israel (UTC+3); overlap with EU working hours is expected.
Location requirements:
Remote. Ukraine and other Eastern European locations.
English:
Upper-Intermediate or higher.
Tech Stack:
Languages: Python (primary), JavaScript / Node.js.
AI/ML: LangChain, LangGraph, LangSmith, LangFuse, Claude/Anthropic.
Frontend: React/Next.js (secondary priority).
Infrastructure: Docker, CI/CD, cloud-agnostic (AWS + GCP).
Integrations: Salesforce, Google Workspace, Zoom, Slack, WhatsApp, email, phone APIs.
Architecture: Multi-agent orchestration, RAG, MCP, embeddings, smart model routing.
Requirements:
5+ years of hands-on experience building AI systems in production (recent AI, not legacy ML)
Production experience with LangChain / LangGraph (mandatory)
Experience with multi-agent orchestration patterns (planner-executor, supervisor, handoff)
Knowledge of RAG, MCP, embeddings, prompt design, and context management
Strong Python; JavaScript / Node.js as secondary
DevOps-capable: CI/CD, Docker, monitoring, logging, DB migrations
Experience testing non-deterministic LLM systems (evals, golden datasets)
Experience integrating with SaaS platforms (Salesforce, Google Workspace, Slack, etc.)
Security best practices: auth/authz, secrets management, OWASP Top 10, LLM-specific risks (prompt injection, tool abuse)
Awareness of SOC 2 / GDPR
React / Next.js — advantage (secondary priority)
Startup mindset: comfortable with ambiguity, end-to-end ownership, fast context-switching
Responsibilities:
Design and build multi-agent systems using LangChain/LangGraph in production
Scale the existing MVP to production: monitoring, auto-scaling, error handling, performance optimization
Build and maintain integrations with SaaS platforms and communication channels
Own the full DevOps ecosystem: CI/CD, Git workflows, DB, backups, logging
Establish testing discipline, including LLM evals and regression suites
Implement security by default
Participate in recruiting and mentoring backend engineers and QA
Provide technical advisory to the client: architectural decisions, technology choices
Benefits from 8allocate:
Team & Culture: Team events, offsites, and a culture that keeps people connected.
Learning & Development: Budget for courses, certifications, and conferences.
Wellbeing: Flexible support in line with company policy, with options to support your physical and mental wellbeing (sport, mental health, or medical insurance).
Rest & Recovery: Paid vacation and sick leave.