Mandatory skill sets:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field. PhD is a plus.
- Minimum 3 years of hands-on experience specifically in developing and managing agentic/autonomous AI systems.
- Overall 10+ years of experience in software engineering, AI/ML development, or related roles.
- Strong programming skills in Python, Java, C++, or similar languages used in AI development.
- Experience with reinforcement learning, multi-agent systems, planning algorithms, and decision-making frameworks.
- Familiarity with AI safety, ethics, and governance issues related to autonomous systems.
- Proven capability to lead technical teams and manage complex projects end-to-end.
- Excellent communication and stakeholder management skills
Preferred skill sets:
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps pipelines for AI lifecycle management.
- Knowledge of NLP, computer vision, or other relevant AI subfields applicable to autonomous agents.
- Background in robotics, autonomous vehicles, or Internet of Things (IoT) projects.
- Experience with simulation environments and synthetic data generation for agent training and testing.
- Familiarity with containerization (Docker, Kubernetes) and microservices architecture.
- Understanding of industry standards and compliance frameworks for AI and autonomous technologies.