AI Agent Engineer (Production Systems)
Location: Remote
Type: Full-Time
Reports to: Head of R&D
About The Role
Rexi Group is building a next generation AI platform and we are looking for a strong software engineer who can design and build production grade AI agents entirely in code. This is not a no code automation role. We are not looking for someone who wires together drag and drop workflows.
We want someone who understands programming deeply. Architecture. Data flow. System behavior. Reliability. Someone who can build intelligent agents that operate consistently in real world environments.
What You’ll Do
• Architect and implement multi-step AI agents in production code
• Design reasoning loops, tool orchestration layers, memory systems, and fallback strategies
• Engineer robust structured data pipelines
• Build scraping and browser automation systems
• Integrate directly with LLM APIs such as OpenAI and Anthropic, managing prompt architecture, tool schemas, streaming responses, error handling, and cost optimization
• Design systems that handle probabilistic outputs with deterministic safeguards
• Implement monitoring, logging, evaluation, and feedback loops
• Collaborate on long-term system architecture and scalability
What We’re Looking For
Core Requirements
• Strong programming foundation in a serious language such as Python, Go, Rust, Java, C#, or TypeScript
• Deep understanding of data structures, clean architecture, modular system design, and asynchronous workflows
• Experience building real production systems, not just prototypes or scripts
• Solid understanding of relational and non-relational databases
• Experience working with APIs and distributed systems
• Ability to design reliable logic around non-deterministic outputs
• Comfort debugging complex, multi-component systems
Nice to Have
• Experience with LangGraph, LangChain, or custom agent frameworks
• Experience with vector databases
• Experience with Playwright, Puppeteer, Selenium, or large-scale scraping systems
• Experience deploying and maintaining production systems using Docker, cloud infrastructure, and CI/CD
• Experience building multi-agent or tool-using systems
What We Value
• Engineering depth over surface level AI hype
• Code first thinking
• Strong problem solving ability
• Clear communication and structured thinking
• Ownership mindset
How To Apply
If you believe you are a strong fit for this role, please apply directly or email jobs@apatay.com. Kindly include your CV, links to relevant GitHub repositories or technical work, and a brief cover message explaining your experience building production grade systems. Applications without demonstrable code work will not be considered.