Full Stack JavaScript Developer (Contract) GautengHybrid ISB1702834

Our client is looking for the following candidate to join a vibrant Platform Development team of 25 people in an intellectually stimulating environment to solve complex challenges on their Software Developer platform .

As a senior full-stack developer with an agentic focus you will help re-architect the platform to be AI-native by design shipping AI agents and LLM-powered features that form the heart of the product internal tooling and the shared agent platform.

Who This Role Would Suit:

This role is tailor-made for an exceptionally skilled Full Stack JavaScript Developer who has transitioned into the cutting edge of AI engineering. It is perfect for a senior developer who goes far beyond casual prompt use and has real-world experience shipping LLM-powered features building autonomous agent workflows and managing production realities like latency non-determinism and token budgets.

You are a self-directed professional who thrives in an intellectually stimulating environment capable of influencing project direction without direct command when translating unclear requests into highly structured scalable code. You have a natural curiosity for emerging AI tools and models combined with the pragmatic engineering discipline required to build safe deterministic guardrails and long-running agent memory networks. If you want to move away from basic application wrappers and help re-architect a massive enterprise developer platform to be truly AI-native by design this is your next challenge.

• Full Stack Mastery: 8 years of deep expertise in full-stack JavaScript/TypeScript development (ES6 React GraphQL) delivering high-performing scalable platforms and features.

• AI & Agentic Engineering: Proven production track record of embedding LLMs designing multi-step agent workflows (tool/function calling structured outputs) managing context windows and building retrieval-augmented generation (RAG) pipelines.

• Technical Leadership: Act as a completely independent functional expert to break down complex requirements shape target AI architectures mentor junior engineers and champion secure responsible AI boundaries.

Position Details:

• Contract Dates:to

• Location: Midrand / Menlyn / Rosslyn / Home Office Rotation

• Role Group: DevOps Role Name: Software Engineering

• Level: 6-8 Years related experience

Qualifications & Experience:

• Relevant IT Degree and/or equivalent professional qualifications.

• 8 years of commercial experience in full-stack JavaScript development or a similar role.

• Demonstrable experience designing building and shipping LLM-powered platforms or agentic features to production.

• Strong understanding of SDLC methodologies (Agile).

• Essential: A clear habit of staying current in a fast-moving field evaluating new models tools and techniques pragmatically.

• Advantageous: AI or ML coursework or certifications.

Essential Skills & Technologies:

Core Tech Stack:

• TypeScript / JavaScript (ES6)

• ( Apollo)

• React (with TypeScript) & Webpack

• GraphQL & REST APIs

• Databases: MongoDB PostgreSQL & Redis

• Docker & Docker Compose Git

AI & LLM Production Expectations:

• Hands-on experience embedding LLMs into production applications.

• Building agentic features: tool and function calling structured outputs and multi-step agent workflows.

• Applied prompt engineering and context management (system prompts token/context-window management).

• Working knowledge of retrieval-augmented generation (RAG).

• Sound judgment on LLM realities: managing latency cost token budgets and non-determinism.

Advantageous Skills:

• AWS cloud experience (specifically ECS Lambda and AWS Bedrock or SageMaker for model hosting).

• Multi-agent orchestration and agent-to-agent patterns (e.g. planner/executor supervisor/worker).

• Building and exposing Model Context Protocol (MCP) servers and tools.

• Agent evaluation tracing (quality cost safety) and observability metrics.

• Guardrails engineering (permission scoping human-in-the-loop approvals audit trails).

• Agent memory/state management for long-running tasks via Redis or Vector stores.

• Model selection smart routing across providers and prompt/response caching.

• Vector databases and embedding-model selection.

Key Responsibilities:

• AI-Native Architecture: Shape the target architecture for deciding where agents and retrieval should replace or augment existing flows and help lead the migration.

• Product AI & Tooling: Re-architect core product flows around AI agents ship customer-facing features (in-product copilots automations) and build internal agents to optimize testing and operations.

• Agent Platform Development: Develop and maintain shared agent building blocks-including tool integrations MCP servers and data retrieval (RAG)-for other engineers to build upon.

• Full-Stack Engineering: Develop full-stack features using Apollo React and GraphQL implementing reusable UI components authentication and permission models.

• Quality Safety & Production: Establish evaluation suites tracing and guardrails (cost control data privacy prompt-injection defenses). Own model routing token optimization and non-deterministic behavior handling.

• Agile & Roadmap: Project manage via epics/user stories participate in code reviews run proof-of-concepts on emerging models and help drive the platform roadmap.

• Mentorship & Support: Guide and mentor junior developers and provide community technical support (2nd and 3rd level on a rotational basis).

Applicants based outside of Gauteng must be willing to relocate. Please note that relocation to the province will be at the candidates own cost.

• Citizenship: South African citizens and residents are preferred.

• Work Permits: Candidates with valid work permits will be considered.

• Privacy: By applying you consent to being added to our database and receiving updates until you unsubscribe.

If you do not receive a response within 2 weeks please consider your application unsuccessful.

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