Full Stack Engineer (AI Tools & Integrations)

Role overview

Join LanguageWire as a Full Stack Engineer (AI Tools & Integrations) in the Core Platform team. You’ll build backend-heavy services, APIs, and workflows that allow AI agents to solve concrete business use cases—while collaborating with product managers and domain experts.

Responsibilities

• Design and build backend services and REST APIs that AI agents can invoke to query data, trigger workflows, and interact with internal/external systems.
• Integrate agent tooling with LanguageWire internal APIs plus third-party services, webhooks, and databases, with clear and well-documented tool interfaces.
• Implement end-to-end automated workflows for business cases across departments (e.g., operations, finance, sales, project management).
• Build agentic workflow support, including chaining tool calls, managing state, and structuring multi-step processes.
• Apply an observability mindset (logging, tracing, monitoring) to track tool invocations and agent interactions.
• Ensure security for exposed tool APIs (auth, validation, rate limiting).

Requirements

• Proven ability to design REST APIs and integrate with third-party services and webhooks.
• Strong backend experience with C# / .NET (Core / .NET 6+), including ASP.NET Web API and microservices.
• Solid experience with relational databases (MSSQL and/or PostgreSQL), including query and schema design and performance.
• Familiarity with async programming, event-driven architecture, and message queues (e.g., Azure Service Bus, RabbitMQ).
• Practical understanding of LLM APIs (e.g., Anthropic, OpenAI, Azure OpenAI), including context handling and response management.
• Familiarity with tool/function calling schemas (defining what an agent can invoke).
• Understanding of security/authentication for tool APIs (e.g., OAuth 2.0, API keys, rate limiting, input validation).
• Agile collaboration with a product mindset and strong communication (English fluency required).
• Comfortable translating needs from domain experts (non-technical stakeholders) into technical solutions.
• Hands-on DevOps experience with CI/CD, Docker, Kubernetes, and cloud (Azure preferred).

Nice to have

• Familiarity with MCP (Model Context Protocol) or similar agent-tool integration patterns.
• Experience with agent orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen).
• Experience with workflow automation platforms (e.g., Azure Logic Apps, n8n, Temporal).
• Knowledge of prompt chaining patterns for reliable/deterministic tool-calling behavior.
• Some frontend exposure (e.g., Vue.js and/or TypeScript) sufficient to contribute when needed.