Observe.AI

AI Agent Engineer, Client Facing

Observe.AI$108K — $170K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • 3+ years in conversational AI, solution engineering, or system integration
  • Strong customer-facing communication skills, including technical troubleshooting and project demos
  • Hands-on experience in prompt design, workflow building, and API integration
  • Familiarity with large language models (LLMs) and orchestration frameworks
  • Working knowledge of retrieval-augmented generation (RAG) concepts
  • Programming experience in Python, JavaScript, or similar

Responsibilities

  • Build and deploy AI agents including prompt design and workflow configuration
  • Engage with clients to lead demos and communicate project progress
  • Integrate systems using APIs, managing authentication and data mapping
  • Implement telephony integrations to ensure seamless voice operations
  • Design and optimize prompts for performance of LLM-driven agents
  • Translate customer requirements into actionable technical solutions
  • Collaborate with cross-functional teams to resolve platform issues

Benefits

  • Market-aligned base pay and performance incentives
  • Comprehensive medical, dental, and vision insurance
  • Unlimited, flexible paid time off for work-life balance
  • 10 company holidays, winter break, and paid parental leave
  • 401(k) retirement plan with tax advantages
  • Flexible quarterly lifestyle spending account for wellness and growth
  • Monthly stipend for mobile and internet connectivity
  • Tax-efficient commuter benefits for hybrid and in-office work
  • Autonomy to influence the development of a GenAI platform.
Full Job Description
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 - 170Kper annum. 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.

#LI-Hybrid

About Observe.AI

Observe.AI is a provider of AI-powered voice customer service solutions. The company's platform uses machine learning and natural language processing to analyze customer interactions and provide insights to improve customer service. Observe.AI's solutions are used by companies in industries such as retail, finance, and healthcare to improve customer satisfaction and reduce costs. The company was founded in 2017 and is headquartered in San Francisco, California.
Learn more about Observe.AI
Size
200 employees
Industry
Founded
2017

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