Role Summary:
We are seeking a highly skilled AI Engineer to develop the core intelligence layer of an advanced robotic system operating in real-world environments. The ideal candidate will work on integrating perception, language, memory, reasoning, and control systems to create a unified embodied AI agent capable of understanding, planning, and acting autonomously.
Key Responsibilities
- Design and develop Vision-Language-Action (VLA) pipelines that connect perception, reasoning, and robotic control.
- Integrate visual embeddings, large language models (LLMs), and robotic control interfaces into a cohesive system.
- Translate high-level user goals into executable robotic actions.
- Build and maintain agentic systems with memory, state management, and environmental awareness.
- Ground language understanding in real-time sensory observations.
- Develop planning and re-planning capabilities based on dynamic environmental feedback.
- Implement real-time multimodal inference loops combining vision, language, and control.
- Orchestrate interactions between perception models, language models, planners, and robotic controllers.
- Design scalable, modular, and maintainable AI system architectures.
- Collaborate with robotics, software, and research teams to deploy intelligent autonomous systems.
Required Qualifications
- Strong experience working with Large Language Models (LLMs) and multimodal AI systems.
- Solid understanding of Transformer architectures.
- Experience with Vision-Language Models (VLMs) and CLIP-style models.
- Hands-on experience building agentic AI systems, including tool/function calling and memory management.
- Proficiency in Python programming.
- Experience developing asynchronous and real-time processing pipelines.
- Strong systems engineering mindset with a focus on modular architecture, integration, and orchestration.
- Ability to design and deploy end-to-end AI solutions in production environments.
Preferred Qualifications
- Experience in Embodied AI, Robotics, or Autonomous Systems.
- Knowledge of Reinforcement Learning (RL) and Behavior Cloning techniques.
- Familiarity with classical or neural planning systems.
- Experience working with multimodal datasets involving vision, language, and action.
- Hands-on experience with simulation environments such as Isaac Sim, Habitat, or Gazebo.
Pay: ₹20,000.00 - ₹30,000.00 per month
Benefits:
- Health insurance
- Paid sick time
- Paid time off
Work Location: In person
