About InteractiveAI
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.
What You’ll Do
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
What We’re Looking For
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
What You’ll Get
- Competitive base salary (€70,000–€90,000/year) + performance bonuses
- Equity / share plan access as it rolls out
- Private health insurance
- Flexible work setup with travel to customer sites when needed (hybrid preferred in Lisbon or Madrid)
- 23 days PTO (excluding local public holidays)
Who You Are
- Customer-Embedded Builder – You enjoy working close to real users and real systems.
- Delivery-Driven – You care about outcomes, not just code.
- Pragmatic & Adaptive – You navigate imperfect environments and make things work.
- High-Ownership Executor – You take responsibility for deployments end to end.
- Clear Communicator – You collaborate effectively with customers, delivery leads, and internal teams.
Interview Process
Our process is focused and respectful of your time (typically 2–3 weeks):
- Intro Call – 30 minutes
- Technical Assignment – Integration or forward-deployment scenario
- Engineering Interview – Practical, implementation-focused discussion
- Delivery & Collaboration Interview – Customer interaction and working style
- Offer – Final conversation and offer details
If you’re excited about deploying AI systems where they actually matter—inside real enterprises—we’d love to meet you.
We’re building a team of Forward Deployed Engineers who care deeply about impact, execution, and quality.
