Gen AI Engineer
Your tasks
Humanoid Robotics & Physical AI Develop and integrate AI capabilities into humanoid and autonomous robotic systems.
Build multimodal AI agents supporting voice, vision, natural language understanding and human robot interaction.
Develop intelligent task planning, reasoning, decision-making and robotic workflow orchestration.
Integrate LLMs and Vision-Language Models (VLMs) with robotic control systems.
Work with robotics frameworks such as ROS/ROS2, Python and robot SDKs.
Support robotic perception, navigation, manipulation and autonomous task execution in collaboration with robotics engineers.
Integrate robots with Digital Twin platforms, IoT systems and Smart Command Centres.
Requirements
Relevant Technical Skills Generative AI:
- LLMs
- Prompt Engineering
- Fine-tuning
- Agentic RAG
- Advanced RAG Pipelines
AI Agents: Multi-Agent Systems, LangGraph, AutoGen and AI workflow orchestration.
AI Security:
- LLM Guardrails
- Responsible AI
- Governance
- Evaluation and Compliance
Multimodal AI:
- Text
- Voice
- Vision
- Conversational AI
- Vision-Language Models
Robotics AI:
- ROS/ROS2
- Robot SDKs
- Vision-Language-Action (VLA) Models
- Robot Perception and Physical AI
AI Operations:
- LLMOps
- AI Monitoring
- Observability
- Model Evaluation
- Deployment
Cloud Platforms: AWS, Microsoft Azure or Google Cloud Platform.
Programming & Integration:
- Python
- FastAPI
- REST APIs
- Vector Databases
- LLM Frameworks
Candidate Requirements Minimum 2 years of relevant experience in GenAI, LLM applications, AI automation or related AI engineering.
Strong Python programming and API integration skills.
Experience developing and deploying AI agents or production-grade AI applications.
Good understanding of AI model evaluation, performance, security and scalability.
Experience in digital marketing automation or humanoid robotics will be an added advantage.
Ability to work independently and collaborate with multidisciplinary engineering teams.