Artificial Intelligence Engineer – Agent Frameworks

Job Description

Job Responsibilities
Design and build a reusable multi-agent AI system that supports multiple projects and use cases

Define agent roles, responsibilities, and interaction patterns, including planning, coordination, and task handoff

Implement agent orchestration using frameworks such as LangChain, LangGraph, CrewAI, or similar

Integrate self-hosted LLMs as well as commercial LLM APIs

Develop backend services in Python, including:

Agent orchestration and execution logic

Tool integrations and external API access

Backend APIs for frontend consumption

Develop and maintain frontend components using React.js, including:

User interfaces for interacting with AI agents

Visualisation of agent outputs and intermediate results

Human-in-the-loop workflows (review, approval, override)

Implement agent evaluation and monitoring, covering:

Response quality and correctness

Performance and latency

Cost and resource usage

Work closely with business users across departments to understand workflows and translate business needs into agent-based solutions

Produce technical documentation, including system design, agent patterns, and usage guidelines

Job Requirements
Diploma or higher qualification in Artificial Intelligence, Data Science, Computer Science, or a related field

Strong hands-on experience in multi-agent AI system design and implementation

Proficient in Python (backend) and React.js (frontend)

Practical experience with LangChain, LangGraph, CrewAI, or similar AI agent frameworks

Experience working with both self-hosted LLMs and commercial LLM services

Familiarity with agent evaluation techniques and AI quality assessment

Solid understanding of LLM limitations, including hallucinations and non-deterministic behavior

Ability to design reliable AI systems with appropriate guardrails and human-in-the-loop controls

Strong communication skills and ability to engage business users with varying technical backgrounds

Able to work independently while collaborating closely with internal teams