Hybrid AI Agent Engineer, Client Facing

Posted 3 hours ago

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About the role

  • AI Agent Engineer developing and deploying enterprise-grade Voice and Chat AI agents at Observe.AI. Leading client engagements and optimizing AI solutions for customer experience.

Responsibilities

  • Build & Deploy Agents: Own the implementation of AI agents including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks.
  • Client Engagement: Act as the primary technical partner for customers—lead regular demos, communicate progress, gather feedback, and guide solutions from concept to production.
  • Systems Integration: Configure and connect systems using APIs—handling authentication, data mapping, error handling, and integrations with CRMs, knowledge bases, and other enterprise tools.
  • Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality.
  • Prompt Design & Optimization: Write and refine prompts for LLM-driven agents, monitor performance, 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.
  • Cross Functional Collaboration: Collaborate with product/engineering teams to escalate platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations.

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.
  • Must have 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.
  • 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.

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
  • Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience.

Job title

AI Agent Engineer, Client Facing

Job type

Experience level

Mid levelSenior

Salary

$108,000 - $170,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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