- Lead the research, design, development, and deployment of advanced AI agents and agentic systems.
- Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities.
- Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence.
- Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale.
- Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions.
- Diagnose and troubleshoot issues in complex distributed environments and optimize system performance.
- Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
- Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products.
- Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences.
- Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution.
- Expertise in machine learning, deep learning, and natural language processing (NLP).
- Strong understanding of agent-based modeling, reinforcement learning, and autonomous systems.
- Experience with large language models (LLMs) and their applications in agentic AI.
- Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch.
- Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
- Strong understanding of distributed system design patterns and microservices architecture.
- Experience with message queuing systems (AWS SQS, Kafka).
- Hands-on experience with system integration patterns and API design.
- Excellent problem-solving and data analysis skills.
- Strong communication and collaboration skills.
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience.
- Min 8+ years of relevant Ai and ML work experience.
- Experience including research work in agentic AI or related fields.
- Publications in top-tier AI conferences or journals.
- Experience building and deploying AI agents in real-world applications.
- Be part of a team that is revolutionizing HR technology with AI.
- Work on cutting-edge AI agents and agentic AI that will shape the future of work.
- Collaborate with talented and passionate individuals.
- Make a real impact on millions of users worldwide.
- Enjoy a dynamic and supportive work environment.

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