چرتکه مدیا
چرتکه مدیا

Senior AI & Process Optimization Specialist

Tehran/ Abas Abad(Beheshti)
Full Time Or Part Time
Sunday to Thursday (Saturday & Friday OFF)
-
Learning stipends -Occasional packages and gifts
11 - 50 employees
IT / Software / Hardware
Iranian company dealing with Iranian and foreign customers
1390
Privately held
توضیحات بیشتر

key Requirements

2 years experience in similar position
Bachelor Computer and IT
Python - Intermediate
GIT - Intermediate
Rest API - Advanced
Docker - Intermediate

Job Description

Position Overview
  • Role Level: Senior Specialist
  • Employment Type: Negotiable
  • Working Hours & Days: Negotiable
Key Responsibilities
  • Process Analysis & Optimization: Evaluate cross-departmental processes, identify bottlenecks and manual/repetitive tasks, and deliver AI-driven solutions to enhance efficiency.
  • Intelligent Workflow Design: Build automated workflows and integrate systems/tools (e.g., Gmail, Google Workspace, CRM, ClickUp, databases, custom webhooks, etc.).
  • LLM & Agentic AI Solutions: Design and implement RAG architectures, multi-step AI agents, prompt engineering, structured outputs, and tool/function calling.
  • Technical Integration & Development: Work with REST APIs, webhooks, and JSON; develop custom scripts/services in Python when required.
  • End-to-End AI Lifecycle Management: Manage projects from requirements gathering and architecture design to testing, production deployment, stability evaluation, logging, and error handling.
  • Documentation & Training: Document workflows, APIs, and prompts thoroughly, while training and empowering internal teams to use AI tools safely and effectively.
Must-Have Qualifications & Skills
  • Experience: Minimum 2 years of relevant experience in AI, automation, software engineering, or process optimization.
  • Language: Advanced English proficiency (ability to read complex technical documentation and communicate effectively).
  • Programming & Web Standards: Intermediate-to-advanced proficiency in Python, REST APIs, webhooks, and JSON.
  • Automation Tools: Hands-on experience with n8n, Manus, Make, or Zapier.
  • Large Language Models (LLMs): Practical experience working with APIs from leading models (OpenAI, Claude, Gemini, Llama, etc.).
  • Modern AI Concepts: Experience building AI agents, RAG architectures, embeddings, and working with vector databases.
  • Databases & DevOps Basics: Familiarity with SQL, databases, Git, and basic Docker/Cloud concepts.
  • Soft Skills: Strong analytical and problem-solving mindset, excellent communication skills across technical and non-technical teams, and the ability to manage projects independently.
Nice-to-Have (Bonus Points)
  • Experience with frameworks like LangChain, LangGraph, LlamaIndex, or CrewAI.
  • Familiarity with multi-agent systems and the Model Context Protocol (MCP).
  • Hands-on experience with vector databases such as Qdrant, Pinecone, Milvus, FAISS, or pgvector.
  • Experience in AI evaluation, observability, guardrails, and AI system security.
  • Prior experience implementing AI solutions in service-oriented companies, e-commerce, tech firms, or multi-departmental organizations.

Job Requirements

Gender
Men / Women
Education
Bachelor| Computer and IT
Language
English| Advanced 90%
Software
Python| Intermediate Rest API| Advanced Docker| Intermediate GIT| Intermediate

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