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AI Agent Engineer, Client Facing

Observe.AI

CAHybridFull-time$108–170K/yrPosted 3w agoVerified open 3 days ago

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At a glance

Compensation
$108–170K/yr
Location
CAHybrid
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Observe.AI is hiring an AI Agent Engineer, Client Facing. Observe.AI seeks an AI Agent Engineer to lead the design, integration, testing, and deployment of enterprise‑grade voice and chat AI agents. The role is hands‑on and customer‑facing, requiring end‑to‑end ownership from prompt design through production tuning while collaborating with clients and internal teams.

Key focus areas include Build & Deploy Agents by designing prompts, configuring workflows, and integrating telephony systems, Engage with clients to demo progress, gather feedback, and guide solutions, and Integrate systems via APIs, handling authentication, data mapping, and error handling.

Successful candidates bring Bachelor's Degree In Computer Science, Engineering, Or Related Technical Field, 3+ Years Conversational AI Experience, and 3+ Years Solution Engineering Experience. Important skills include Systems Integration, Consumer Engagement, Data Mapping, Exception Handling, Problem Solving, and Telephony. Preferred (not required): Retrieval-Augmented Generation Concepts, Retrieval-Augmented Generation Implementation Patterns, Retrieval-Augmented Generation Performance Optimization, and Integration Platform-as-a-Service Providers.

Skills & qualifications

RequiredNice to have

Skills

Systems IntegrationConsumer EngagementData MappingException HandlingProblem SolvingTelephonyPrompt DesignWorkflow BuildingAPI IntegrationSIPTwilioAmazon ConnectClient EngagementTelephony IntegrationStrategic PartneringCross Functional CollaborationCommunicationLLMsGPTClaudeGeminiVector DBsOrchestration FrameworksLangChainLlamaIndexRetrieval-Augmented Generation ConceptsRetrieval-Augmented Generation Implementation PatternsRetrieval-Augmented Generation Performance OptimizationPythonJavaScriptProblem-Solving MindsetIntegration ToolsIntegration Platform-as-a-Service Providersn8nZapierData Flow ManagementTelephony SystemsVoice SystemsCCaaSPSTNVector DatabasesRetrieval-Augmented Generation (RAG)Customer Engagement

Qualifications

Bachelor's Degree in Computer Science or Engineering or Related Technical Field3+ Years Conversational AI or Solution Engineering or System Integration or AI/LLM-Based Applications

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
Parental Leave
401(k) Match

Full job description

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

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.

You’ll own the end-to-end lifecycle of AI Agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance.

What You’ll Be Doing

  • 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. What You’ll Bring To The Role

  • 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. Why You’ll Love It Here

  • 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. Salary Range

The base salary compensation range targeted for this full-time position is $108 - 170K per year. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices.

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai .

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