AI platform to meet complex customer requirements Build deterministic workflows and guardrails in TruePath for the steps that must never be improvised: identity, payments, eligibility Own agents through go-live: red-team readiness, latency and accuracy tuning, evaluation, and debugging live traffic Provide technical consulting, training, and enablement to customer teams, and serve as their day-to-day technical contact Translate ambiguous business requirements into agent design, and push back when the requirement is wrong Feed what you learn in the field back into the product, so the next deployment is faster than the last Qualifications Must have Bachelor's or Master's in Computer Science or equivalent experience 3+ years of software engineering experience, with strong production coding in Python, JavaScript/TypeScript, or Go Strong knowledge of RESTful APIs and hands-on experience implementing web services Hands-on experience with MCP (Model Context Protocol) Hands-on experience with LLM tool calling / function calling in production Working knowledge of how agents and LLMs actually behave: tokenization and context limits, tool calling, RAG and retrieval quality, hallucination and how to catch it, evaluation Real experience building and debugging integrations against systems you do not control, over APIs, webhooks, and data pipelines Comfortable working directly with enterprise customers, including in rooms where you are the only engineer Able to operate with incomplete requirements and drive to a working solution Fluent written and spoken English Willingness to travel to customer sites Nice to have (we really mean it) Experience building, debugging, and evaluating voice agents: turn-taking, barge-in and interruption handling, endpointing, ASR and TTS latency, and the quality tradeoffs between them Fine-tuning, prompt optimization, or building evaluation harnesses and tracing/observability for LLM applications Comfort with cloud platforms and DevOps practices: containerization, CI/CD, monitoring A data-driven approach to refining deployments, including A/B testing and performance monitoring Background in banking, payments, insurance, or collections Exposure to regulated environments: TCPA, Regulation F, FDCPA, HIPAA, SOC 2 Contact center or telephony platforms (Genesys, Five9, Twilio, Zendesk) Fluency in Spanish or Portuguese, for our LATAM customers Benefits Competitive salary package and bonus scheme Learning budget for ongoing education A buddy to support you through onboarding Clear career paths and growth opportunities Direct ownership of deployments at Fortune 500 scale, with a short path from what you learn to what we build About Us Moveo is the agentic platform that turns every customer interaction into an outcome, with its own memory, its own guardrails, its own models and its own execution layer, running for regulated enterprises on three continents. Responsibilities Embed with enterprise customers to design and build agents for servicing, onboarding and KYC, collections, payments, and fraud Build custom AI functionality on top of the platform: tools the agent can call, retrieval over customer knowledge, and logic specific to their operation Connect Moveo to customer systems of record over MCP and REST: Salesforce, SAP, Genesys, Five9, Twilio, ServiceNow, Dynamics Design and debug RESTful APIs and implement custom functionality inside the Moveo.