AI Agent Engineer

<p><strong>About Us</strong></p> <p><a href="http://observe.ai/">Observe.AI</a> is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business.</p> <p><a href="http://observe.ai/">Observe.AI</a> combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management.</p> <p>Companies like DoorDash, Affordable Care, Signify Health, and Verida use <a href="http://observe.ai/">Observe.AI</a> to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel.</p> <p><strong>Why Join Us</strong></p> <p>We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization.</p> <p>You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance.</p> <p><strong>What you’ll be doing</strong></p> <ul> <li><strong>Build Deploy Agents</strong>: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms.</li> <li><strong>Client Engagement:</strong> Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined.</li> <li><strong>Systems Integration:</strong> Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems.</li> <li><strong>Telephony Integration:</strong> Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality.</li> <li><strong>Optimization:</strong> Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets.</li> <li><strong>Strategic Partner:</strong> Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion.</li> <li><strong>Shadow Core Engineering:</strong> Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery.<br><br></li> </ul> <p><strong>What you'll bring to the role<br></strong></p> <ul> <li>3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions.</li> <li>Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.).</li> <li>Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.).</li> <li>ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization.</li> <li>Solid programming skills (Python, JavaScript, or similar).</li> <li>Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos.</li> <li>Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems.</li> <li>Bachelor’s degree in Computer Science, Engineering, or a related technical field</li> <li>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.</li> <li>Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other tel ... (truncated, view full listing at source)