Full Stack Engineer - AI Tools & Integrations
L
LanguageWireLanguage and Content Services
SpainFull-Time
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- PostgreSQLMicrosoft SQL ServerRabbitmqTypeScriptVue.JsC#ASP.NET Web API.NET coreRESTful APIsMicroservices
Requirements
- Strong backend experience: C#, .NET Core / .NET 6+, ASP.NET Web API, microservices
- Solid experience with relational databases (MSSQL and/or PostgreSQL), query design, schema design, performance
- Proven ability to design and build REST APIs and integrate with third-party services and webhooks
- Familiarity with async programming, event-driven architecture, and message queues (e.g., Azure Service Bus, RabbitMQ)
- Some frontend exposure (Vue.js and/or TypeScript)
- Practical understanding of LLM APIs (Anthropic, OpenAI, Azure OpenAI), calling them, managing context, handling responses
- Familiarity with designing or consuming tool/function calling schemas, defining what an agent can invoke and how
- Familiarity with MCP (Model Context Protocol) or similar agent-tool integration patterns (or eagerness to learn)
- Understanding of security and authentication for exposed tool APIs (OAuth 2.0, API keys, rate limiting, input validation)
- Observability mindset: logging, tracing, and monitoring tool invocations and agent interactions
- A product mindset: you care about solving real business problems, not just completing tickets
- Comfortable working with domain experts (non-technical stakeholders) to identify automation opportunities and translate them into technical solutions
- Strong communication skills, English fluency required
- Agile, collaborative, and opinionated in a constructive way
Responsibilities
- Design and build AI agent tools: Create backend services and APIs that AI agents can invoke to query data, trigger workflows, and interact with internal and external systems
- Integrate with existing services and APIs: Connect agent tooling to LanguageWire’s internal platform APIs, third-party services, and databases
- Define tool schemas and contracts: Design clear, well-documented tool interfaces (function schemas, OpenAPI specs, MCP server definitions) that LLMs and orchestration layers can reliably consume
- Build agentic features and workflows: Implement end-to-end automated workflows where AI agents solve specific business cases across departments
- Own your services end-to-end: From architecture and coding to deployment, monitoring, and maintenance
- Contribute to backend services and data layers: Extend existing .NET microservices and databases to expose the capabilities needed by AI tools
- Set up and improve CI/CD pipelines to ship reliably and frequently
- Apply DevOps and Operational Excellence best practices to ensure agent tools are observable, resilient, and secure
- Share knowledge with the team and help define how we build AI-powered products
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