At Talkdesk, we are courageous innovators focused on redefining the customer experience, making the impossible possible for companies globally. We champion an inclusive and diverse culture representative of the communities in which we live and serve. And, we give back to our community by volunteering our time, supporting non-profits, and minimizing our global footprint. Each day, thousands of employees, customers, and partners all over the world trust Talkdesk to deliver a better way to great experiences.
We are recognized as a cloud contact center leader by many of the most influential research organizations, including Gartner and Forrester. With $498 million in total funding, a valuation of more than $10 Billion, and a ranking of #16 on the Forbes Cloud 100 list, now is the time to be part of the Talkdesk legacy to help accelerate our success in a new decade of transformational growth.
At Talkdesk, we embrace FAST, our fundamental operating principles that define who we are as an organization. These principles drive us to make the impossible possible. FAST: Focus + Accountability + Speed = Talkdesker.
- Focus: Focus time, energy and attention on what is most impactful for the business and thoughtful about how and when to partner with others.
- Accountability: Hold self and others accountable to meet commitments and drive results. Accept responsibility for successes and failures.
- Speed: Execute with agility and urgency. Act promptly, decisively, and without delay. Make good and timely decisions that keep the organization moving forward.
- Talkdesker: YOU!
The Forward Deployed Engineer (FDE) is a hands-on technical contributor responsible for helping translate the power of Talkdesk’s Agentic AI platform into real, working solutions for our customers.
You are an emerging engineer with a passion for building, learning, and solving problems in customer-facing environments. You will support the technical execution of deployments, assist with implementation tasks, and contribute to successful customer outcomes across assigned projects. This role is ideal for early-career builders who want to develop deep expertise in Agentic AI and be part of shaping the future of Customer Experience Automation.
Responsibilities
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Technical Implementation & Support: Assist in the technical delivery of customer deployments. Contribute to designing and implementing components of AI agent solutions, working closely with senior engineers to ensure solutions follow best practices for security, reliability, and scale.
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Hands-On Engineering & Delivery: Write clean, maintainable code and use Talkdesk and 3rd-party APIs/SDKs to build, test, and deploy AI agents, prototypes, and integrations. Support development work from initial prototype through production under guidance from more senior FDEs.
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Technical Collaboration & Customer Alignment: Participate in customer-facing technical discussions by helping clarify requirements, addressing basic technical inquiries, and ensuring alignment between customer needs and implementation plans. Escalate complex issues to senior team members as needed.
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Feedback & Product Influence: Document deployment learnings, edge cases, and common customer needs to support internal knowledge sharing. Provide structured feedback to Product and Engineering teams to help improve tooling, workflows, and developer experience.
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Learning & Skill Development: Actively develop your expertise in AI agent architecture, integration patterns, and production-grade delivery. Learn from senior FDEs and contribute to improving team processes, reusable patterns, and delivery best practices.
Who You Are
We are looking for a motivated, curious, and fast-learning engineer who is passionate about building meaningful AI-powered solutions and delivering real value to customers.
Required Qualifications
- 1–2+ years of experience in software engineering, solutions engineering, or a related technical field.
- Foundational experience contributing to the development or deployment of AI/ML systems, LLM-based applications, or automation workflows (academic or professional).
- Proficiency in JavaScript, Python, TypeScript, or similar languages, with a focus on writing clean and reliable code.
- Working knowledge of APIs, webhooks, and basic systems integration concepts.
- Familiarity with prompt engineering principles and an understanding of how LLM-based agents operate.
- Ability to communicate clearly with technical and non-technical stakeholders and collaborate effectively on cross-functional teams.
Preferred Qualifications
- Experience with Retrieval-Augmented Generation (RAG) architectures or vector databases (e.g., Pinecone, Weaviate, Milvus).
- Exposure to Healthcare, Financial Services, or other regulated environments.
- Knowledge of the Contact Center (CCaaS), Unified Communications (UCaaS), or Customer Experience (CX) industry.
- Demonstrated interest in AI engineering through coursework, personal projects, or open-source contributions.
THE PAY TRANSPARENCY INFORMATION BELOW IS ONLY APPLICABLE TO ROLES WITHIN THE UNITED STATES:
Pay Range (Base Pay): $125,000 - $187,000
Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission.
Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).
Retirement Benefits: 401(k) plan
Paid Time Off: Talkdesk offers an uncapped paid time off program, subject to manager approval and consistent with business needs.
Paid Holidays: Talkdesk offers 14 paid holidays each year.
Paid Sick Leave: Employees have uncapped paid time off, subject to manager approval and consistent with business needs.
Method of Application: Apply online.
Application Window: The application window is expected to close at least 10 days from the posting date.
All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.
Work Environment and Physical Requirements:
Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)