Senior Applied Scientist at auxoai

Setup: Hybrid
Location: India
Type: Full-time
Level: senior
Posted: May 3, 2026

Description

AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents for structured reasoning, planning, and decision-making. The role emphasizes planning and search algorithms, optimization, classical AI, machine learning, graph algorithms, memory systems, tool orchestration, evaluation, and reliable production deployment under latency, cost, uncertainty, and context constraints. It is hybrid, requiring three days per week in an office in Mumbai, Bangalore, Hyderabad, or Gurgaon, India.

Required Skills

Planning algorithms
Monte Carlo Tree Search
Python
Agent frameworks
Memory systems
Tool calling
Agent evaluation
Reinforcement learning
Task orchestration

Additional Information

Required Previous Experiences: 2-5 years building machine learning or AI systems in production environments
Implementing advanced search or planning algorithms, including tree search or heuristic planning
Building or extensively customizing agent frameworks for real-world applications
Designing tool-use or function-calling architectures under practical system constraints
Preferred Qualifications: Reinforcement learning techniques
Multi-agent or collaborative agent systems
Agent robustness and reliability evaluation
LLM inference optimization
Distributed task orchestration and AI workflow management