AI Architect / Senior AI Engineer
About the role
We're Hiring! 🦡
We are looking for a strong AI Architect / Senior AI Engineer to help design and build a new generation of autonomous AI systems. This will be a hybrid or fully remote role anywhere in the US.
This role combines AI, LLMs, agent systems, backend engineering, and distributed systems. You will help turn an ambitious concept into a working MVP, define the core architecture, and help shape the technical direction of the product.
What you’ll work on
Autonomous AI agents with persistent state and memory
Agent planning, reasoning, and decision-making
Behavioral and personality models that influence decisions
Long-term memory and context management
Tool use and dynamic tool selection
Browser and environment interaction
Autonomous data exploration and extraction
Distributed systems for running many agents and workers
Monitoring, evaluation, and simulation
Requirements
5+ years of experience in software engineering, AI/ML, or a related field
Strong experience with LLMs and AI agents
Excellent Python skills
Strong backend and system design skills
Experience with distributed or asynchronous systems
Experience building autonomous or agent-based systems
Good understanding of memory, retrieval, and context management
Ability to take an idea from concept to a working prototype
Strong problem-solving skills and ability to work independently
Nice to have
Reinforcement learning
Multi-agent systems
Behavioral modeling
Computer-use / browser agents
Large-scale distributed systems
AI evaluation and simulation
The ideal candidate
A hands-on AI engineer who can think like an architect — someone who enjoys solving open-ended problems, building prototypes quickly, and turning new AI capabilities into reliable, scalable systems.
This is an opportunity to take significant technical ownership and help define the architecture and engineering direction of a highly ambitious AI platform.
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Responsibilities
- Design and build autonomous AI agents with persistent state and memory
- Implement agent planning, reasoning, and decision-making
- Develop behavioral and personality models that influence decisions
- Manage long-term memory and context
- Facilitate tool use and dynamic tool selection
- Enable browser and environment interaction
- Conduct autonomous data exploration and extraction
- Create distributed systems for running multiple agents and workers
Qualifications
- 5+ years of experience in software engineering, AI/ML, or a related field
- Strong experience with LLMs and AI agents
- Excellent Python skills
- Strong backend and system design skills
- Experience with distributed or asynchronous systems
- Experience building autonomous or agent-based systems
- Good understanding of memory, retrieval, and context management
- Ability to take an idea from concept to a working prototype
Skills mentioned
About Badger
Badger transforms real-time public discourse into decision-ready intelligence, enabling faster orientation, early action, and continuous awareness across regions, languages, and digital environments.