Forward Deployed Engineer

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:

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

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#### About us

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 agents—and soon fine-tune and own their own models.

We value autonomy, speed, and innovation, and we’re 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.