Salary: $4,500 – $6,500 per month
About the role
We are looking for an AI Engineer to design, build, and improve the AI systems that power zCloak.AI. You will work on production-grade AI agents, retrieval systems, tool-use infrastructure, agent memory, workflow orchestration, evaluation, and model integration. Your work will span the full AI application stack — from models and prompts to retrieval, tools, runtime systems, observability, and production reliability. This is a hands-on engineering role. You will work closely with product, platform, and deployment teams to turn emerging AI capabilities into dependable product features that can operate inside real enterprise workflows.
Key responsibilities
- Design, build, and maintain production-grade AI agents and agentic systems.
- Develop RAG pipelines, retrieval systems, document-processing pipelines, and knowledge-grounding mechanisms.
- Build and improve tool-use systems, agent memory, workflow orchestration, approval flows, and human-in-the-loop mechanisms.
- Integrate and evaluate foundation models from multiple providers and determine the appropriate model, prompting, routing, and execution strategy for different tasks.
- Develop structured-output, function-calling, and multi-step reasoning workflows for enterprise use cases.
- Build evaluation frameworks to measure task completion, accuracy, reliability, latency, and cost.
- Design guardrails, validation mechanisms, fallback strategies, and failure-recovery logic for AI systems.
- Develop tracing, logging, monitoring, and observability capabilities for agent execution.
- Investigate and resolve failures across models, prompts, retrieval, tools, data pipelines, application code, and infrastructure.
- Improve model and agent performance through prompt optimisation, retrieval improvements, model selection, context management, and system-level engineering.
About you
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
- Strong programming ability in Python.
- Solid software engineering fundamentals, including APIs, databases, testing, debugging, version control, and production software development.
- Hands-on experience building applications with LLMs, AI agents, tool calling, or workflow orchestration.
- Experience building RAG systems using embedding models, vector databases, retrieval techniques, and document-processing tools.
- Understanding of modern LLM application patterns, including prompting, structured outputs, function calling, context management, and model evaluation.
- Experience integrating external APIs, databases, and model providers.
- Experience working in Linux-based development or deployment environments.
- Ability to investigate ambiguous technical problems and systematically identify root causes.
- Clear written and verbal communication skills in English.
About us
zCloak.AI helps enterprises transform business operations through production-ready AI workflows. We build an AI agent work platform that connects enterprise data, tools, and teams with secure, governed AI execution.