We're hiring an Applied AI Researcher in the deep-tech and AI research industry .
In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You'll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions.
Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains
Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases
Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness
Explore post-training optimization, fine-tuning, and domain adaptation methods
Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities
Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

- 4+ years of experience in applied AI research or equivalent industry R&D; experience
- Solid foundations in optimization, probability, and linear algebra




- Expertise in Python and frameworks like PyTorch or JAX
- Experience with RL and post-training methods (e.g., Proficiency in building and aligning small language models (SLMs), including reasoning-specific models
- Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node)
- Experience in designing evaluation metrics and performance analysis methodologies

Preferred Experience
Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.)
Experience applying AI to scientific domains like drug discovery, chip design, or materials science
Experience with open-ended systems and emergent behavior in agent-based learning
Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow
Experience with domain adaptation, interpretability, and model optimization for deployment
Contributions to open-source AI projects
Expertise in building GPU-accelerated pipelines and optimizing inference at scale
Access to high-performance computing resources
Competitive salary, benefits, and opportunities for growth

📌 Tech / AI Specialist (India)
🏢 PyjamaHR
📍 India