Ai Developer / Ai Architect

Devologyx; Remote; ZAR 1 693 000 - 2 202 000; Full time

Job summary

A technology solutions provider is seeking AI Developers / AI Architects for a full-time remote role focused on developing LLM-driven solutions. Candidates should have over 5 years of software engineering experience, strong Python skills, and at least 2-3 years working specifically on LLM or GenAI projects. Responsibilities include designing and integrating applications, deploying cloud infrastructure, and mentoring junior engineers. This position requires strong problem-solving skills and the ability to work in a hybrid environment.

Qualifications

• 5+ years of software engineering experience with Python.
• 2-3 years of experience working on LLM or GenAI projects.
• Solid understanding of backend API / microservice architecture.

Responsibilities

• Design and develop LLM-based applications using Python.
• Lead prompt engineering and deployment of LLMs.
• Build scalable backend services to support GenAI workflows.

Skills

Python

Problem-solving

Communication skills

Tools

AWS

PyTorch

TensorFlow

Docker

Kubernetes

Job description

We are seeking AI Developers / AI Architects (FULL TIME) to build a team exclusively supporting a global client on a fully remote contract basis.

Contract Type : Full Time – Contractor

Contract Length : 6 Months (Renewable)

Location : Remote

The role focuses on designing, deploying and maintaining large-language-model (LLM) driven solutions with strong Python skills, cloud infrastructure (AWS preferred), and production‑scale best practices.

You'll work across prompt engineering, RAG (retrieval‑augmented generation), LLM fine‑tuning, API / microservices integration, and end‑to‑end delivery of AI / GenAI features in live applications.

Key Responsibilities

• Design, develop and integrate LLM‑based applications and services using Python.
• Lead or participate in prompt engineering, fine‑tuning, evaluation and deployment of LLMs (OpenAI, Hugging Face, custom models).
• Build scalable backend services (APIs / microservices) to support GenAI and LLM workflows, ensuring robustness, performance and scalability.
• Deploy and maintain cloud infrastructure (preferably AWS) supporting AI / ML workloads, containers / servers, model‑deployment pipelines.
• Work with data scientists, engineers and product teams to translate business use‑cases into technical AI / LLM solutions.
• Implement monitoring, logging, metrics, and SLOs around AI / LLM systems (latency, accuracy, drift, etc).
• Stay current with AI / ML / LLM research, frameworks and best practice and introduce innovations into the stack.
• Mentor junior engineers, set standards for AI code, pipelines, architectures.

What will make us happy

• 5+ years of software engineering experience (Python - must) AND at least 2-3 years working specifically on LLM or GenAI projects.
• Strong proficiency in Python, and experience with ML / AI libraries (PyTorch, TensorFlow, Hugging Face).
• Solid understanding of backend API / microservice architecture.
• Hands‑on experience with large language models (LLMs), prompt engineering, RAG and fine‑tuning.
• Experience building and operating scalable cloud‑native services (AWS preferred) for AI workloads.
• Excellent problem‑solving skills, initiative, and ability to work independently in a hybrid / remote environment.
• Clear communication skills and ability to engage with both technical and business stakeholders.

Nice to have

• Experience with containerisation (Docker, Kubernetes) and orchestration of AI services.
• Familiarity with Infrastructure as Code (Terraform, AWS CDK) for deploying AI infrastructure.
• Knowledge of agentic AI workflows.