AI Agent Engineer, Client Facing

Observe.AI • Redwood City, CA

3h • $108,000 - $170,000 • Hybrid

About The Position

Observe.AI is seeking an AI Agent Engineer to join their team. This role is responsible for building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. The position is hands-on, customer-facing, and involves the entire lifecycle of AI Agents from design and integration to deployment and optimization. The AI Agent Engineer will own the end-to-end lifecycle of AI Agents, including building, integrating, testing, demoing to clients, deploying into production, and tuning performance.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 3+ 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.
• 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 optimization.
• 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.

Nice To Haves

• 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.

Responsibilities

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

Benefits

• Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership
• Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents
• Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best.
• Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work.
• 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings
• Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth
• Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs
• Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level