Job Description
<p>Core Skill :<br/><br/>AI Engineer<br/><br/>Mandatory Skills :<br/><br/>- AI/ML, Data Scientist, Python , LangGraph, LLM<br/><br/>Requirements :<br/><br/>- 4 -6 years of software engineering or AI/ML experience, with 2+ years in agentic or LLM-based system design.<br/><br/>- Hands-on experience with LangGraph, CrewAI, AutoGPT, BabyAGI, or similar frameworks.<br/><br/>- Proficiency in Python and common AI/LLM libraries (LangChain, OpenAI API, Hugging Face, etc.).<br/><br/>- Strong grasp of agent lifecycle, orchestration, and autonomy patterns (e.g., ReAct, Plan-and-Execute, hierarchical agents).<br/><br/>- Experience in integrating LLM agents with tools (APIs, search, file systems, databases) and managing secure, compliant interaction models.<br/><br/>- Solid understanding of vector stores , memory architectures, and context management strategies.<br/><br/>- Experience deploying agentic frameworks in large-scale enterprise environments (finance, telecom, healthcare, etc.) and Knowledge of LangGraph's stateful workflows will be a plus.<br/><br/>Role and Responsibilities :<br/><br/>- Architect and build a reusable, secure, and scalable Agentic AI framework that can be adopted by multiple teams across the enterprise.<br/><br/>- Define standards, patterns, and abstractions for building intelligent agents using LLMs and other foundational models.<br/><br/>- Leverage and extend frameworks like LangGraph, CrewAI, or Semantic Kernel to enable advanced agentic capabilities such as (Long-horizon task planning, Tool calling (APIs, databases, RPA, internal services), Memory persistence and retrieval (via vector stores or knowledge graphs),Autonomous decision-making and reflection,Multi-agent orchestration and collaboration, Human-in-the-loop workflows,Monitoring and observability,Governance and compliance,Security and access control,Performance optimization and cost management<br/><br/>- Collaborate with cross-functional teams to ensure the framework aligns with enterprise-grade expectations.<br/><br/>- Integrate the framework with existing enterprise platforms.<br/><br/>- Conduct research and stay updated on the latest advancements in Agentic AI, LLMs, and related technologies.<br/><br/>- Mentor and guide junior engineers in best practices for building agentic systems.<br/><br/>- Coach and guide engineering teams in adopting and extending the framework.<br/></p> (ref:hirist.tech)