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.