About the Role

We are looking for a passionate Agentic AI Developer to design, build, and deploy intelligent AI agents that can automate real-world business processes and day-to-day workflows. The ideal candidate will work at the intersection of Artificial Intelligence, Software Development, Automation, and Multi-Agent Systems, creating AI-powered solutions that can reason, plan, execute tasks, and integrate seamlessly with enterprise applications.

This role requires strong software engineering fundamentals along with hands-on experience in developing AI applications using modern LLMs, AI frameworks, and agent orchestration platforms.

Key Responsibilities

Design, develop, and deploy autonomous and semi-autonomous AI agents for business and consumer use cases.
Build Agentic workflows involving planning, reasoning, memory management, and tool usage.
Develop AI-powered applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, etc.
Integrate AI agents with enterprise systems, APIs, databases, CRMs, ERPs, and third-party platforms.
Create multi-agent ecosystems capable of collaboration and task delegation.
Build AI copilots, chatbots, automation assistants, and workflow orchestration solutions.
Develop backend services and APIs to support agent-based applications.
Implement Retrieval-Augmented Generation (RAG), vector databases, and knowledge management systems.
Optimize AI applications for performance, scalability, security, and cost efficiency.
Evaluate emerging AI technologies and recommend innovative solutions.
Collaborate with product, engineering, and business teams to identify automation opportunities.

Requirements

Required Skills

AI & Agent Development

Experience with AI agent frameworks such as:
- LangGraph
- LangChain
- CrewAI
- AutoGen
- Semantic Kernel
- OpenAI Agents SDK
Strong understanding of:
- Agentic AI
- Multi-Agent Systems
- Prompt Engineering
- RAG Architectures
- Function Calling & Tool Usage
- AI Memory Management

Software Development

Strong programming skills in:
- Python (Mandatory)
- JavaScript / TypeScript
Experience with:
- REST APIs
- Microservices Architecture
- Backend Development
- Database Design

AI Ecosystem

Experience working with:
- OpenAI
- Azure AI Services
- Anthropic Claude
- Google Gemini
- Open-Source LLMs

Data & Infrastructure

Vector Databases:
- Pinecone
- Weaviate
- Chroma
- Milvus
Databases:
- SQL
- PostgreSQL
- MongoDB

Cloud & DevOps

Azure / AWS / GCP
Docker
Git
CI/CD Pipelines

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
Experience building enterprise-grade AI applications.
Hands-on experience with workflow automation platforms.
Understanding of AI governance, security, and responsible AI practices.
Exposure to MLOps and AI deployment frameworks.

כישורים נדרשים

Agentic AI (designing autonomous/semi-autonomous agents)Multi-Agent Systems (coordination, collaboration, task delegation)Prompt EngineeringRetrieval-Augmented Generation (RAG) architecturesFunction calling & tool usage for LLMsAI memory management for agentsAgent frameworks (e.g., LangChain, LangGraph, AutoGen, Semantic Kernel, OpenAI Agents SDK, CrewAI)Python programmingJavaScript/TypeScript programmingVector databases (Pinecone, Weaviate, Chroma, Milvus)Backend development, REST APIs and microservices architectureCloud platforms (Azure, AWS, GCP)Containerization & DevOps tooling (Docker, Git, CI/CD pipelines)Integration with enterprise systems (APIs, databases, CRMs, ERPs)Experience with LLM providers and ecosystems (OpenAI, Azure AI Services, Anthropic Claude, Google Gemini, open-source LLMs)

משרות דומות