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 RangeThe base salary compensation range targeted for this full-time position is
$108 - 170Kper 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.
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