Ai Agent Developer

Woodstock, WC, ZA, South Africa

Job Description

Job Specification:

AI Agent DeveloperOverview

Location:

Woodstock, Cape Town

We are looking for a hands-on AI Agent Developer with direct experience in building, deploying, and integrating AI agents for automation and process optimisation. This role is not about robotics or engineering-heavy AI -- instead, it's focused on the practical application of agent frameworks and external tools to streamline workflows in financial services and related sectors.

The ideal candidate will have at least 6-12 months of proven experience working directly with AI agents, including knowledge of integrations, tooling, and practical deployment in a business environment.

Key Responsibilities



Design, build, and deploy AI agents to support business automation, data handling, and process workflows. Evaluate and select the most effective external AI agent tools and frameworks (e.g., LangChain, CrewAI, AutoGen, or similar). Develop and maintain integrations between AI agents and core business systems (CRM, workflow management tools, data APIs, etc.). Write and maintain lightweight Python scripts to customise, connect, and enhance AI agent functionality. Collaborate with operations and technical teams to identify automation opportunities and implement agent-driven solutions. Monitor performance and improve deployed agents to ensure reliability, efficiency, and security. Stay up to date with emerging agent technologies and best practices.

Required Skills & Experience



Experience:

Minimum 6-12 months of direct, hands-on experience building and deploying AI agents.

Technical:

Solid working knowledge of at least one AI agent framework (e.g., LangChain, CrewAI, AutoGen). Strong understanding of external integrations and APIs (Zapier, Make, or native integrations into CRMs, databases, and SaaS platforms). Basic to intermediate

Python

skills for scripting and agent customisation.

Business Context:

Understanding of how AI agents can be applied to workflow automation, client service, or operational efficiency.

Problem Solving:

Ability to identify pain points in processes and design agent-based solutions.

Communication:

Clear, collaborative approach to working with both technical and non-technical stakeholders.

Desirable (Not Essential)



Prior experience deploying AI agents in

financial services

or other regulated industries. Familiarity with process mapping and workflow design tools (e.g., Asana, Airtable, or similar). Knowledge of data security and compliance considerations when using AI tools in a regulated environment.

What We Offer



Opportunity to shape how AI agents are applied in a growing, forward-thinking business. Exposure to financial services and related industries where automation is rapidly evolving. A collaborative environment that values experimentation, innovation, and practical delivery.

Employment type:

6 Month Fixed-term with the possibility of a full time postion.

Location:

Woodstock, Cape Town (In office)

Job Types: Full-time, Temp to perm

Ability to commute/relocate:

Woodstock, Western Cape 7925: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):

Candidates would be required to present any practical builds that are currently being used in a business - Designs, builds, and deployed AI agents that support business automation, data handling, and process workflows.
Experience:

proven AI Agent Developer : 1 year (Required)
Work Location: In person

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Job Detail

  • Job Id
    JD1537942
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Woodstock, WC, ZA, South Africa
  • Education
    Not mentioned