AI Architect / Senior AI Engineer

Badger; United States; Hybrid; USD 150,000 - 230,000; Full time

Job summary

Badger is seeking a hands-on AI Architect / Senior AI Engineer to design and build a new generation of autonomous AI systems. This role offers hybrid or fully remote work anywhere in the US, with opportunities to shape the technical direction of an ambitious AI platform.

You will work on autonomous AI agents, memory management, tool integration, and distributed systems, driving prototypes from concept to working MVP and owning significant technical decisions.

Qualifications

• 5+ years of software engineering, AI/ML experience.
• Strong experience with LLMs and AI agents.
• Strong backend and system design skills.
• Experience with distributed or asynchronous systems.
• Experience building autonomous or agent-based systems.
• Good memory, retrieval, and context management.
• Able to take an idea from concept to prototype.
• Strong problem-solving and autonomous work ability.

Responsibilities

• Develop autonomous AI agents with persistent state and memory.
• Plan, reason, and make decisions for agent systems.
• Model behavioral patterns and personality for decision making.
• Manage long-term memory and context.
• Implement tool use and dynamic tool selection.
• Build and operate distributed agent systems at scale.
• Monitor, evaluate, and simulate AI behavior.

Skills

AI/ML

LLMs

Backend design

Distributed systems

Problem solving

Tools

Python

Cloud platforms

Job description

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
• 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
• 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

• Multi-agent systems
• Behavioral modeling
• 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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