AI Engineer

We are looking for an AI Engineer with hands-on experience building agentic solutions.

What You Will Do:

• Design and build agentic solutions and in-product AI assistants for end users
• Build MCP servers and tool integrations so LLMs can safely work with the product’s APIs and data
• Build retrieval (RAG) pipelines and manage how much load AI features put on the production database
• Integrate LLM providers and manage prompts, structured output, validation, cost and failure handling
• Work with the existing engineers on feature development when needed
• Document the architecture and share knowledge with the team

What We Are Looking For:

• 5+ years of professional software engineering experience, with at least 2 years working hands-on with LLMs
• Proven experience building agentic solutions: multi-agent systems, agent orchestration and tool calling
• Hands-on experience building MCP servers
• Experience with RAG, vector databases and embeddings in a real product
• Experience integrating frontier and open weight models with structured output, validation and fallback strategies
• Solid backend skills (Python, Java or TypeScript) and experience with REST APIs and relational databases, and comfortable working on the front-end when needed
• Ability to explain a past agentic project in detail: the architecture, the trade-offs and what went wrong
• Fluent English and comfortable working directly with a US-based team

Nice to Have:

• Experience building AI assistants that end users interact with inside a SaaS product
• Java and front-end experience (React, Vue or Angular), so the engineer can help with product features
• Experience protecting a production database from heavy AI workloads (read replicas, caching, rate limiting)
• Experience with PostgreSQL and AWS
• Experience with AI security, such as prompt injection and data isolation between tenants

If this sounds like you – Apply now!