Job Title : AI Engineer / Sr. AI Engineer (59 Years Experience)
Location : Bangalore (Hybrid)
Type : Overview :
Were looking for a highly skilled AI Engineer or Senior AI Engineer with 4 - 6 years of experience to join a fast-moving team building cutting-edge agentic systems powered by generative AI. In this role, you'll be responsible for designing, developing, and deploying autonomous agents capable of reasoning, decision-making, and interacting with dynamic environments.
Youll work on building a platform to develop, test, and deploy these intelligent agents - combining generative AI, reinforcement learning, multi-agent systems, and multimodal intelligence. This is an opportunity to shape the future of agent-based AI systems in a fast-paced, collaborative startup environment.
Key Responsibilities :
- Design and build autonomous agentic systems for real-world tasks.
- Work with large language models (LLMs), reinforcement learning frameworks, and simulation environments.
- Develop scalable platforms and infrastructure to support agent development and deployment.
- Collaborate across engineering, research, and product teams to prototype and productionize novel AI capabilities.
- Integrate multimodal inputs (text, vision, speech) into agent workflows.
- Optimize AI models for edge deployment and resource-constrained environments.
Requirements :
Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.Proven experience building agentic or autonomous AI systems.Deep understanding of :
Generative AI (LLMs like GPT, Claude, LLaMA)Reinforcement LearningMulti-agent systems :
Hands-on experience with frameworks like LangChain, LlamaIndex, Hugging Face, etc.Experience working with simulation environments for agent training and testing.Familiarity with NLP and computer vision, especially for multimodal AI.Exposure to Vision-Language Models (VLMs) and advanced multimodal architectures.Knowledge of deploying AI models on edge devices or in low-latency environments.Self-driven, adaptable, and comfortable in an early-stage / startup setup.Experience : 5 to 9 years
(ref : hirist.tech)