AI Architect / Senior AI Engineer
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What you'll do
- 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
What they're looking for
- 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
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.
We are currently looking for a dedicated AI Architect / Senior AI Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
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
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
Company
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