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About the Role
As a Forward Deployed Engineer (FDE) at Parloa, you will be on the front lines of enterprise AI adoption, delivering cutting-edge technology into complex environments. Your mission is to lead end-to-end deployment projects from an engineering perspective, engineering solutions for success at enterprise scale. You will build what doesn’t yet exist, adapt architecture, and engineer integrations across systems and APIs. Your work is hands-on and code-first, directly impacting customer experience and shaping the product.
Responsibilities
- Own deployment engineering projects, leading technical execution including product engineering.
- Design deployment solutions that meet enterprise-grade requirements for performance, reliability, and security.
- Engineer custom extensions, integrations, and configurations to meet enterprise requirements.
- Operate at the intersection of backend engineering, DevOps, and data engineering.
- Collaborate with customer engineering organizations to overcome constraints and deliver outcomes.
- Provide technical guidance to more junior in-field engineers.
- Engage with enterprise architects and senior technical stakeholders.
- Rapidly unblock issues in mission-critical environments.
- Act as the feedback loop between the field and core engineering teams.
- Ensure scalable architectures and durable customer value.
Requirements
- 4+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact.
- Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments.
- Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases.
- Proven experience in systems design and the ability to go hands-on in production systems.
- Ability to operate independently in ambiguous, high-responsibility settings.
- A builder’s mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world.
- Degree in Computer Science, Engineering, or related technical field.
- Experience building or integrating AI/LLM-powered systems is a strong plus.
Skills
- Python
- TypeScript
- Node.js
- OpenAI
- Microsoft Azure
- Kubernetes
- Docker
- Terraform
- MongoDB
- MySQL
- Redis
- Kafka
- MCP
- Backend engineering
- DevOps
- Data engineering
- Systems design
- API integration
- AI/LLM systems
Location
- USA
Work Type
- Full-time
Experience Level
- 4+ years of professional experience
Education Level
- Degree in Computer Science, Engineering, or related technical field
Salary/Compensations
- $140,000—$160,000 USD
Benefits
- Ownership accountability
- Fast execution
- Direct feedback
- Meaningful contribution expectation
About the Company
- Parloa's mission is to make every customer conversation feel effortless. They are shaping the foundation of a new era in customer experience with agentic AI. Parloa has powered over ONE BILLION interactions for global enterprise brands. They are backed by investors like General Catalyst, EQT Ventures, and Altimeter Capital, with the ambition to become the global category leader in enterprise-grade conversational AI.
- At Parloa, ownership means being accountable for outcomes. They operate in a fast-evolving category with high bars and complex problems. They hire people who think in solutions, communicate with clarity, and follow through. They have kept the intensity of a startup with fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
- Parloa is committed to upholding the highest data protection standards for clients' and employees' data, ensuring utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
- Parloa is an e-verify employer in the USA.
Equal Opportunity
- We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.