We're hiring on behalf of a Haystack partner!
The Role
- Lead the design and development of autonomous goal management frameworks for enterprise AI systems
- Build and deploy production-ready Reinforcement Learning solutions for agentic AI applications
- Architect dynamic planning and execution systems for autonomous agents in complex workflows
- Design goal decomposition, task orchestration, and adaptive decision frameworks
- Develop robust evaluation, monitoring, and safety protocols for agent reliability
- Translate cutting-edge AI/ML research into scalable production systems
What You'll Need
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or related field
- 4+ years of experience in AI/ML research, data science, or ML engineering
- 2+ years leading advanced AI/ML systems or serving in a technical lead capacity
- Demonstrated experience applying Reinforcement Learning to agentic AI systems in production
- Strong expertise in autonomous goal management and dynamic planning systems
- Advanced Python programming skills and experience with core ML frameworks like PyTorch, JAX, or TensorFlow
What's On Offer
- Opportunity to lead the development of advanced capabilities in autonomous goal management and agentic AI systems
- High-impact individual contributor leadership role in Enterprise AI
- Chance to take RL-driven agentic AI solutions from proof-of-concept to production
- Contribute to enterprise-wide AI capability development and innovation initiatives
Apply via Haystack today!