Senior Software Implementation Engineer – Johannesburg

Accountancy Placements

Location
Johannesburg, Gauteng
Minimum qualification
Bachelor's degree
Closing date

First listed . Last checked at source .

In brief

Overview This role is for a Senior Software Implementation Engineer in Johannesburg, recruited by Accountancy Placements for their client. It is described as a high-impact engineering position focused on designing, deploying, and optimizing autonomous AI agents and intelligent workflows. These solutions are intended to integrate with enterprise systems, automate business processes, and deliver measurable business value. What you will do Key responsibilities for this role include: * Leading end-to-end implementation of AI solutions, from requirements gathering to deployment. * Designing and developing intelligent AI workflows and automation solutions. * Integrating AI agents with enterprise platforms, APIs, and business systems. * Collaborating with clients to define requirements and develop tailored solutions. * Conducting testing, troubleshooting issues, and optimising system performance. * Monitoring and improving deployed solutions using post-launch analytics. * Ensuring successful project delivery and measurable business outcomes. Requirements (from the original advert) The advert specifies the following requirements: * Bachelor's degree in Computer Science, Engineering, or a related technical field. * Experience with LLM orchestration, AI Agents, RAG, and Voice Agents. * Strong REST API and webhook integration experience. * Proficiency in Excel and Python for data mapping and transformation. * Experience with Salesforce, HubSpot, WhatsApp, and SendGrid APIs. * Knowledge of workflow orchestration tools e.g., n8n and serverless platforms GCP, Cloudflare Workers, or equivalent. * Familiarity with vector databases and event-driven serverless architectures. * Hands-on experience with AI platforms such as OpenAI, Google Gemini, or ElevenLabs. * Experience with testing, edge-case handling, and human-in-the-loop workflows. * Previous experience in client-facing implementation or solutions consulting. * Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. * Ability to work in a fast-paced environment and deliver projects from discovery through to go-live. Who should apply The ideal candidate is a skilled and experienced Senior Software Implementation Engineer. This person should be capable of leading end-to-end AI solution implementations, possessing a strong background in AI technologies (such as LLMs, RAG, and AI Agents), enterprise system integration (APIs, webhooks), and specific platforms (like Salesforce, HubSpot, OpenAI, Google Gemini). The role requires prior client-facing implementation or solutions consulting experience, strong communication skills to articulate technical concepts to non-technical stakeholders, and the ability to thrive in a fast-paced environment while delivering projects from discovery to go-live. Deadline Not specified Reference Original posting: https://www.myjobmag.co.za/job/senior-software-implementation-engineer-johannesburg-accountancy-placements Source: myjobmag

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

    • Python
    • Google Cloud
    • Microsoft Excel
    • Salesforce
    • HubSpot

    Extracted automatically from the advert; confirm requirements on the original listing.

    Job description

    * Our client is looking for a skilled Senior Software Implementation Engineer to join their team in this high-impact engineering role. The role involves designing, deploying, and optimizing autonomous AI agents and intelligent workflows. These solutions will integrate with enterprise systems, automate business processes, and deliver measurable business value. Responsibilities: * Lead end-to-end implementation of AI solutions, from requirements gathering to deployment * Design and develop intelligent AI workflows and automation solutions * Integrate AI agents with enterprise platforms, APIs, and business systems * Collaborate with clients to define requirements and develop tailored solutions * Conduct testing, troubleshoot issues, and optimise system performance * Monitor and improve deployed solutions using post-launch analytics * Ensure successful project delivery and measurable business outcomes Requirements: * Bachelor's degree in Computer Science, Engineering, or a related technical field * Experience with LLM orchestration, AI Agents, RAG, and Voice Agents * Strong REST API and webhook integration experience * Proficiency in Excel and Python for data mapping and transformation * Experience with Salesforce, HubSpot, WhatsApp, and SendGrid APIs * Knowledge of workflow orchestration tools e.g., n8n and serverless platforms GCP, Cloudflare Workers, or equivalent * Familiarity with vector databases and event-driven serverless architectures * Hands-on experience with AI platforms such as OpenAI, Google Gemini, or ElevenLabs * Experience with testing, edge-case handling, and human-in-the-loop workflows * Previous experience in client-facing implementation or solutions consulting * Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders * Ability to work in a fast-paced environment and deliver projects from discovery through to go-live

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