We are looking for an Agentic AI engineer to build next-generation autonomous AI systems capable of goal directed behavior, planning, and adaptive decision-making. The engineer will work at the intersection of AI architectures, Agentic AI, and software engineering to develop intelligent agents that can reason, interact with environments, and autonomously achieve complex objectives.
- Proven experience with AI agent development, particularly in LLM-driven or hybrid systems (e.g., LangChain, CrewAI, AutoGen, Semantic Kernel).
- Solid proficiency in Python, and experience with ML frameworks (e.g., PyTorch, TensorFlow).
- Deep understanding of concepts such as:
- Planning and reasoning (e.g., hierarchical planning, symbolic reasoning)
- Tool use and API orchestration
- State management, memory systems, and agent coordination
- Experience with deploying systems in production environments (cloud, containerized, scalable architecture).

Mandatory SkillsAgentic AI,



Artificial Intelligence, natural language processing, LLMs, Generative Ai

Roles & Responsibilities

Design and implement agentic AI architectures that support planning, memory, tool use, and self-reflection. Develop or integrate cognitive components such as LLMs, Agentic AI framework, Memory, cloud to realize the system. Interface AI agents with external tools, APIs, environments, or user interfaces (e.g., web browsing, code execution, task automation). Optimize agents for efficiency, alignment, robustness, and autonomy in open-ended tasks. Work on developing agentic systems in real-world applications (e.g., customer service, operations, coding assistants).

Project Overview

Work on developing agentic systems in real-world applications (e.g., customer service, operations, coding assistants).

📌 Ai Ml Engineer (Bengaluru)
🏢 Hughes Systique
📍 Bengaluru