Senior Software Engineer at InteractiveAI

Lisbon, Madrid Community, Portugal -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

90000.0

Posted On

26 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Node.js, Python, Backend Engineering, Systems Integration, APIs, REST, GraphQL, Cloud Platforms, Docker, Kubernetes, Terraform, Debugging, Troubleshooting, Communication, Integration, Automation

Industry

Software Development

Description

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/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) Who You Are 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. Interview Process 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

Responsibilities

You will embed closely with enterprise customers to implement and deploy AI agent-based solutions. Your role includes building customer-specific integrations and ensuring reliable adoption of workflows in complex systems.