What you’ll be doing

• Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms.
• Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined.
• Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems.
• Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality.
• Optimization: Monitor performance, refine prompts, 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.
• Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery.

What you'll bring to the role

• 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions.
• Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.).
• Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.).
• ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization.
• Solid programming skills (Python, JavaScript, or similar).
• Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos.
• Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management.
• Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies.