About the role
We are seeking a Forward Deployed Engineer (FDE) who bridges the gap between deep software engineering, cutting-edge AI agent orchestration, and client delivery. In this role, you aren't just writing specifications or handing off prototypes; you directly design, build, deploy, optimise, and debug production AI agents end-to-end. You will embed deeply with client environments to build seamless integrations while taking full technical ownership of agent performance in the wild.
Responsibilities:
- End-to-End AI Agent Architecture: Design, prompt, build, and deploy production voice agents, including guardrails, conversation design, and tool-calling logic.
- Production Integration Engineering: Build scalable backend integrations (REST APIs, WebSockets, webhooks, callbacks, CRM writes) connecting the Blue Machines platform with enterprise systems.
- AI Orchestration and Ecosystems: Implement AI/LLM frameworks using LangChain, OpenAI APIs, or similar SDKs to deliver intelligent workflows.
- System Observability and Root-Cause Analysis: Read system logs, traces, and call flows to run rigorous root-cause analysis proving whether an issue stems from prompt design, platform layer, or data pipelines.
- Agent Evaluation and Funnel Optimisation: Continuously monitor and optimise agent metrics (completion rate, hallucination rate, latency, cost) and run funnel experiments on conversation cadence.
- Client Technical Leadership: Partner directly with client engineering teams, lead technical workshops, manage expectations with clarity, and travel for live-call reviews.
Requirements:
- Core Experience: (2-5) years of software development experience, with at least 2+ years of hands-on experience shipping live LLM/AI applications (agents, RAG, or chatbots; voice experience is a plus).
- Core Backend Skills: Proficiency in Python or Java for backend architecture and integration work.
- Cloud and Web Architecture: Hands-on experience with cloud platforms (preferably GCP) along with deep knowledge of APIs, WebSockets, and auth protocols (OAuth2 JWT).
- Data Fluency: Comfortable pulling and analysing data independently using SQL, Python, or Sheets.
- Communication and Presence: Strong client-facing communication skills with the ability to explain technical complexities in plain terms.
- Mobility: Willingness to travel for on-site client workshops and deployment reviews.
- Knowledge of telephony stacks and real-time protocols (SIP, WebRTC, Twilio, Avaya, Ubona).
- Experience with Voice AI or Conversational AI Systems.