Agentic AI Developer at SSC HR Solutions
Cairo, Cairo, Egypt -
Full Time


Start Date

Immediate

Expiry Date

06 Sep, 26

Salary

0.0

Posted On

08 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, LangChain, LangGraph, AutoGen, CrewAI, Generative AI, Large Language Models, RAG, Vector Databases, Azure, AWS, GCP, Docker, Kubernetes, FastAPI, Prompt Engineering

Industry

Human Resources Services

Description
Job Description We are looking for a Agentic AI Developer with 4+ years of hands-on experience in designing, developing, and deploying intelligent, autonomous AI agents that can plan, reason, and act toward achieving complex goals. This role blends expertise in Generative AI, Large Language Models (LLMs), and orchestration frameworks to build systems that go beyond static responses—enabling dynamic, goal-driven behavior. Key responsibilities o Build autonomous agents using frameworks like LangChain, LangGraph, AutoGen, and CrewAI that can plan, reason, and execute tasks iteratively. o Integrate and fine-tune LLMs (e.g., GPT, Claude, LLaMA) for use in agent workflows, including prompt engineering and retrieval-augmented generation (RAG). o Develop systems where multiple agents collaborate, delegate tasks, and adapt strategies based on real-time feedback. o Enable agents to interact with external systems (e.g., APIs, databases, web apps) to perform actions autonomously. o Use tools like LangSmith, Grafana, and Splunk to monitor agent behavior, performance, and reliability. o Work closely with data scientists, architects, and product teams to align agentic solutions with business goals. o Ensure all solutions are well-documented and comply with data privacy and security standards. Technical Skills o Languages: Python (mandatory), JavaScript, C# (optional) o Frameworks: LangChain, LangGraph, AutoGen, CrewAI, Hugging Face Transformers o LLMs: GPT-4, GPT- 4o, Claude, LLaMA, Mistral, Gemini o Vector Databases: FAISS, Pinecone, ChromaDB, Weaviate o Cloud Platforms: Azure (OpenAI, ML Studio), AWS (Bedrock, SageMaker), GCP (Vertex AI) o DevOps & CI/CD: Git, Azure DevOps, Docker, Kubernetes o Monitoring Tools: LangSmith, Grafana, Splunk o Other Tools: Streamlit, FastAPI, Flask for UI/API development Qualifications o Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field o 1–5 years of experience in AI/ML development, with at least 1–2 years in Gen AI or Agentic AI o Strong understanding of autonomous systems, planning algorithms, and multi-agent coordination o Excellent problem-solving, communication, and collaboration skills
Responsibilities
Design and deploy autonomous AI agents capable of planning, reasoning, and executing complex goals using orchestration frameworks. Integrate LLMs and external APIs to create collaborative multi-agent systems while monitoring performance and reliability.
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