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