Overview
In this role you will help shape Eightfold.ai’s agentic AI platform by researching, designing, and deploying autonomous AI agents at scale. You will work with cross-functional teams to define requirements and deliver high-impact, personalized experiences for millions of users. You’ll advance LLM-based autonomy, multi-agent planning, and robust infrastructure while staying at the forefront of AI research. This is a fantastic chance to contribute to cutting-edge, enterprise-grade AI that transforms how people connect with opportunities.
Pay / Benefits
- hybrid work model
- base salary
- discretionary bonus up to 15%
- preIPO equity
- comprehensive family medical, vision, and dental coverage
- equity awards eligibility
Responsibilities
- Research, design, and deploy advanced AI agents and agentic systems
- Architect multi-agent platforms with planning, decision-making, and execution capabilities
- Integrate LLMs and state-of-the-art AI techniques to boost agent autonomy
- Build scalable, reliable infrastructure to support agent operations at scale
- Collaborate with product, design, and engineering to define requirements and deliver solutions
- Diagnose issues in distributed environments and optimize performance
- Contribute to team knowledge sharing and technical growth
- Stay current with AI research and apply innovations to products
- Leverage enterprise and user data to craft personalized agent experiences
- Contribute to Copilot GenAI Workflows for Users for chat-like command execution
Key requirements
- Knowledge and passion in machine learning, GenAI, LLMs, and agentic AI
- Understanding of agent-based modeling, reinforcement learning, autonomous systems
- Experience with LLMs and their applications in Agentic AI
- Proficiency in Python; experience with TensorFlow or PyTorch
- Experience with AWS and containerization (Docker, Kubernetes)
- Understanding of distributed system design and microservices
- Strong coding and algorithm skills; excellent problem-solving and data analysis abilities
- Strong communication and collaboration skills
- Bachelor in Computer Science, Artificial Intelligence, or related field, or equivalent experience
- Min 2-5+ years of relevant ML work experience
- strong communication
- collaboration
- problem-solving
- Python
- TensorFlow
- PyTorch
…
