Agentic AI Engineer

Required Skills and Experience

• 6+ Yrs Hands-on experience building and deploying

  agentic AI systems

  , autonomous workflows, or multi-agent orchestration solutions with total IT exp of 8-12 years.
• Proficiency in

  AI/ML development tools and languages

  such as Python, LangChain, LlamaIndex, Hugging Face, or orchestration frameworks like

  Azure AI Studio, Prompt Flow, AutoGen, or CrewAI

  .
• Strong

  problem-solving, analytical, and reasoning skills

  , with the ability to translate complex business challenges into agentic workflows.
• Excellent

  communication and storytelling abilities

  , capable of conveying complex AI concepts and system behaviors to both technical and non-technical stakeholders.
• Ability to manage and deliver

  multiple AI initiatives simultaneously

  , maintaining precision and quality across the lifecyclefrom design to deployment.

Preferred Skills and Experience

• Degree in a quantitative or technical field such as Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related discipline.
• Professional certifications in AI, ML, or LLM development (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty, or equivalent).
• Experience with

  cloud-native AI platforms

  (Azure, AWS, or GCP) and modern MLOps/LLMOps practices.
• Familiarity with

  retrieval-augmented generation (RAG)

  ,

  tool integration

  ,

  API orchestration

  , and

  agent autonomy patterns

  .
• Domain knowledge in areas such as

  cybersecurity, financial services, IT operations, or healthcare

  , where agentic AI can deliver significant value.