80 mil € - 100 mil €1sem
Forward Deployed Engineer
Forward Deployed Engineer
Requisitos
We’re looking for an engineer who thrives in customer-facing, execution-heavy environments and enjoys owning delivery outcomes end to end.
Minimum Requirements
Minimum Requirements
- 5+ years of experience in backend engineering, systems integration, or delivery-focused roles
- Strong proficiency with Node.js, Python, or similar backend languages
- Proven experience building system integrations, APIs, connectors, or automation workflows
- Hands-on experience with RESTful and/or GraphQL APIs
- Strong familiarity with cloud platforms (AWS, GCP, or Azure)
- Experience deploying and managing Docker-based workloads
- Solid understanding of relational or in-memory databases (Postgres, Redis, etc.) in integration contexts
- Comfort working with Terraform or other Infrastructure-as-Code tools
- Strong debugging, troubleshooting, and delivery-oriented problem-solving skills
- Excellent communication skills and comfort working directly with enterprise customers
- Experience integrating enterprise platforms such as Salesforce, HubSpot, ServiceNow, Workday, Zendesk, Snowflake, or similar
- Familiarity with enterprise authentication and identity systems (OAuth, SAML, SCIM, Entra, Okta)
- Background in consulting, system integration, technical delivery, or solution implementation
- Experience with event-driven systems, messaging platforms, or ETL pipelines
- Exposure to AI/ML deployments or agent-based systems
Anuncio original
As a Forward Deployed Engineer, you will operate at the intersection of engineering, delivery, and customer environments. You'll embed closely with enterprise customers to implement, customize, and deploy InteractiveAI's agent-based solutions in real-world settings. Your mission is to ensure successful, reliable adoption of AI agent workflows inside complex enterprise systems.
You'll work hands-on with customer teams while collaborating tightly with Delivery Managers, Solutions Architects, and Product Engineering.
Forward Deployment & Customer Integration
Minimum Requirements
We're forming a team of builders - people who care about impact, quality, and growth. If that's you, let's talk - careers@interactive.ai
You'll work hands-on with customer teams while collaborating tightly with Delivery Managers, Solutions Architects, and Product Engineering.
Forward Deployment & Customer Integration
- Embed with customer implementations to build and deploy customer-specific integrations, data pipelines, and automation workflows
- Implement custom connectors, SDK extensions, and integration modules for CRMs, data warehouses, ticketing systems, identity providers, messaging tools, and internal systems
- Configure and adapt agent workflows to customer environments, security constraints, and operational processes
- Participate directly in technical scoping sessions with customers, translating business requirements into executable engineering work
- Act as a technical owner during deployments, ensuring solutions work reliably in production
- Develop backend services, workers, scripts, and connectors used in customer-facing deployments
- Build integration logic and business workflows using Node.js, Python, or similar backend languages
- Implement REST and/or GraphQL consumers and producers to interface with enterprise systems
- Handle data ingestion, mapping, transformation, and synchronization across heterogeneous systems
- Deploy and configure agent workloads and integration services in customer-approved cloud environments (AWS, GCP, Azure)
- Manage containerized workloads using Docker and Kubernetes at the deployment and customer-infra level
- Implement logging, monitoring, and alerting for customer-facing systems
- Troubleshoot and resolve production issues in live enterprise environments, often in collaboration with customer engineering teams
- Work closely with Delivery, Solutions, and Enterprise Engineering throughout the customer lifecycle
- Serve as a feedback loop from the field, bringing real-world customer insights back to Product Engineering
- Contribute to reusable deployment patterns, integration blueprints, and best practices to scale future customer implementations
Minimum Requirements
- 5+ years of experience in backend engineering, systems integration, or delivery-focused roles
- Strong proficiency with Node.js, Python, or similar backend languages
- Proven experience building system integrations, APIs, connectors, or automation workflows
- Hands-on experience with RESTful and/or GraphQL APIs
- Strong familiarity with cloud platforms (AWS, GCP, or Azure)
- Experience deploying and managing Docker-based workloads
- Solid understanding of relational or in-memory databases (Postgres, Redis, etc.) in integration contexts
- Comfort working with Terraform or other Infrastructure-as-Code tools
- Strong debugging, troubleshooting, and delivery-oriented problem-solving skills
- Excellent communication skills and comfort working directly with enterprise customers
- Experience integrating enterprise platforms such as Salesforce, HubSpot, ServiceNow, Workday, Zendesk, Snowflake, or similar
- Familiarity with enterprise authentication and identity systems (OAuth, SAML, SCIM, Entra, Okta)
- Background in consulting, system integration, technical delivery, or solution implementation
- Experience with event-driven systems, messaging platforms, or ETL pipelines
- Exposure to AI/ML deployments or agent-based systems
- Competitive base salary (€70,000/yr to €90,000/yr) + performance bonuses
- Access to equity/share plan as it rolls out
- Private health insurance
- Flexible work setup + travel when needed (ideally Hybrid in Lisbon or Madrid)
- 23 days PTO (excluding local public holidays)
- Delivery-Minded - You love solving real client problems and building integrations that work in the real world.
- Pragmatic & Resourceful - You find practical solutions and adapt quickly to each client's environment.
- High-Ownership Executor - You deliver high-quality work independently and reliably.
- Strong Communicator - You work well with delivery managers, enterprise customers, and internal engineering teams.
- Intro Call - 30 minutes
- Technical Assignment - Focused on integration or delivery scenarios
- Engineering Interview - Practical problem-solving and implementation-focused technical discussion
- Delivery & Collaboration Interview - Working style, client interaction, communication
- Offer - Final conversation and offer details
We're forming a team of builders - people who care about impact, quality, and growth. If that's you, let's talk - careers@interactive.ai
Candidatura gestionada por InteractiveAI