Forward Deployed Engineer

• 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 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

• 5 years of experience in backend engineering systems integration or delivery-focused roles
• Strong proficiency with 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 (70000/yr to 90000/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 clients 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.

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

InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.
We are building the next generation of enterprise-AI solutions delivering an end-to-end Agentic IDE alongside an extensible ecosystem of agentic resources and solutions.

Our platform allows companies to orchestrate monitor evaluate deploy and improve AI agentsand soon fine-tune and own their own models.

We value autonomy speed and innovation and were building a world-class team to match. Our squads are lean focused and execution-driven.

If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes this is for you.