Forward Deployed Engineer

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
  , 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
  , 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):

1. Intro Call – 30 minutes
2. Technical Assignment – Integration or forward-deployment scenario
3. Engineering Interview – Practical, implementation-focused discussion
4. Delivery & Collaboration Interview – Customer interaction and working style
5. 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.