Forward Deployed Engineer

InteractiveAI
InteractiveAI
Madrid, LisbonPresencial70.000 € - 100.000 €Publicado hace 3 mesesMidIndefinido
InteractiveAI

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
  • 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
Nice-to-Haves
  • 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
  • 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
Custom Backend & Systems Implementation
  • 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
Enterprise Deployment & Reliability
  • 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
Cross-Functional & Field Collaboration
  • 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
We're looking for an engineer who thrives in customer-facing, execution-heavy environments and enjoys owning delivery outcomes end to end.
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
Nice-to-Haves
  • 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.
We keep our process focused and respectful of your time. Most candidates complete it in 2-3 weeks. Here's what to expect:
  1. Intro Call - 30 minutes
  2. Technical Assignment - Focused on integration or delivery scenarios
  3. Engineering Interview - Practical problem-solving and implementation-focused technical discussion
  4. Delivery & Collaboration Interview - Working style, client interaction, communication
  5. Offer - Final conversation and offer details
If you're excited about building real-world solutions for enterprise customers and owning impactful delivery work, we'd love to meet you.
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

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