AI Agent Engineer

We're looking for a client-facing AI Agent Engineer to design, integrate, and deploy enterprise-grade Voice and Chat AI agents and AI Copilots. This is a hands-on, delivery-focused role centred on bringing AI solutions to life within customer environments, not building foundational AI models. You will work directly with customers to translate requirements into working solutions by configuring integrations, designing prompts and workflows, and deploying scalable AI agents. This role is ideal for someone who enjoys problem-solving across systems, working with APIs, and delivering real-world AI applications. You'll own the end-to-end lifecycle of AI agent delivery from initial design and integration through testing, client demos, deployment, and ongoing iteration.

Responsibilities:

• Build and Deploy Agents: Own the implementation of AI agents, including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks.
• Client Engagement: Act as the primary technical partner for customers, lead regular demos, communicate progress, gather feedback, and guide solutions from concept to production.
• Systems Integration: Configure and connect systems using APIs, handling authentication, data mapping, error handling, and integrations with CRMs, knowledge bases, and other enterprise tools.
• Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality.
• Prompt Design and Optimisation: Write and refine prompts for LLM-driven agents, monitor performance, test iteratively, and ensure agents meet automation and containment targets.
• Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion.
• Cross-Functional Collaboration: Collaborate with product/engineering teams to escalate platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 2+ years in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications in customer environments, software engineering, or system integration with hands-on delivery of AI/LLM-based solutions.
• Strong ability to communicate and lead customer-facing discussions - from deep technical troubleshooting to weekly project demos. Ability to explain complex technical concepts to non-technical audiences.
• Must have strong hands-on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect, etc. ).
• Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc. ).
• Working knowledge of retrieval-augmented generation (RAG) concepts, implementation patterns and performance optimisation.
• Programming experience in Python, JavaScript, or similar for scripting and integrations.
• Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems.
• Experience with integration tools and Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficiency in API integrations and data flow management is a plus.
• Familiarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plus.