Forward Deployed Engineer

What You’ll DoAs 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 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 IntegrationEmbed with customer implementations to build and deploy customer‑specific integrations, data pipelines and automation workflowsImplement custom connectors, SDK extensions and integration modules for CRMs, data warehouses, ticketing systems, identity providers, messaging tools and internal systemsConfigure and adapt agent workflows to customer environments, security constraints and operational processesParticipate directly in technical scoping sessions with customers translating business requirements into executable engineering workAct as a technical owner during deployments ensuring solutions work reliably in productionCustom Backend & Systems ImplementationDevelop backend services, workers, scripts and connectors used in customer‑facing deploymentsBuild integration logic and business workflows using Python or similar backend languagesImplement REST and/or GraphQL consumers and producers to interface with enterprise systemsHandle data ingestion, mapping, transformation and synchronization across heterogeneous systemsEnterprise Deployment & ReliabilityDeploy 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 levelImplement logging, monitoring and alerting for customer‑facing systemsTroubleshoot and resolve production issues in live enterprise environments often in collaboration with customer engineering teamsCross‑Functional & Field CollaborationWork closely with Delivery, Solutions and Enterprise Engineering throughout the customer lifecycleServe as a feedback loop from the field bringing real‑world customer insights back to Product EngineeringContribute to reusable deployment patterns, integration blueprints and best practices to scale future customer implementationsWhat We’re Looking ForWe’re looking for an engineer who thrives in customer‑facing, execution‑heavy environments and enjoys owning delivery outcomes end to end.Minimum Requirements5 years of experience in backend engineering, systems integration or delivery‑focused rolesStrong proficiency with Python or similar backend languagesProven experience building system integrations, APIs, connectors or automation workflowsHands‑on experience with RESTful and/or GraphQL APIsStrong familiarity with cloud platforms (AWS, GCP or Azure)Experience deploying and managing Docker‑based workloadsSolid understanding of relational or in‑memory databases (Postgres, Redis, etc.) in integration contextsComfort working with Terraform or other Infrastructure‑as‑Code toolsStrong debugging, troubleshooting and delivery‑oriented problem‑solving skillsExcellent communication skills and comfort working directly with enterprise customersNice‑to‑HavesExperience integrating enterprise platforms such as Salesforce, HubSpot, ServiceNow, Workday, Zendesk, Snowflake or similarFamiliarity with enterprise authentication and identity systems (OAuth, SAML, SCIM, Entra, Okta)Background in consulting, system integration, technical delivery or solution implementationExperience with event‑driven systems, messaging platforms or ETL pipelinesExposure to AI/ML deployments or agent‑based systemsWhat You’ll GetCompetitive base salary ($70,000 - $90,000 per year) and performance bonusesAccess to equity/share plan as it rolls outPrivate health insuranceFlexible work setup; travel when needed (ideally Hybrid in Lisbon or Madrid)23 days PTO (excluding local public holidays)Who You AreDelivery‑Minded – You love solving real client problems and building integrations that work in the real worldPragmatic & Resourceful – You find practical solutions and adapt quickly to each client’s environmentHigh‑Ownership Executor – You deliver high‑quality work independently and reliablyStrong Communicator – You work well with delivery managers, enterprise customers and internal engineering teamsInterview ProcessIntro Call – 30 minutesTechnical Assignment – Focused on integration or delivery scenariosEngineering Interview – Practical problem‑solving and implementation‑focused technical discussionDelivery & Collaboration Interview – Working style, client interaction, communicationOffer – Final conversation and offer detailsIf 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… if that’s you, let’s talk.About UsInteractiveAI is a fast‑growing startup on a mission to empower enterprises with fully managed AI agent lifecycles. We’re 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 are building a world‑class team. If you thrive in high‑performance environments and want to be part of a company that rewards transformational outcomes, this is for you.#J-18808-Ljbffr