AI Engineer

This is a fully remote position, open to applicants in Bulgaria.

📋 Description

• Create and develop agentic solutions and in-product AI assistants for end users.

• Construct MCP servers and implement tool integrations to enable LLMs to interact securely with product APIs and data.

• Develop retrieval (RAG) pipelines.

• Oversee the impact of AI features on the production database load.

• Integrate LLM service providers.

• Manage prompts, structured outputs, validation, costs, and error handling.

• Collaborate with existing engineers on feature development when necessary.

• Document the architecture and disseminate knowledge within the team.

⛳️ Requirements

• A minimum of 5 years of professional experience in software engineering.

• At least 2 years of hands-on experience with LLMs.

• Demonstrated expertise in developing agentic solutions, including multi-agent systems, agent orchestration, and tool invocation.

• Practical experience in building MCP servers.

• Familiarity with RAG, vector databases, and embeddings in real-world products.

• Experience in integrating frontier and open-weight models with structured outputs, validation, and fallback strategies.

• Strong backend proficiency in Python, Java, or TypeScript.

• Experience with REST APIs and relational databases.

• Willingness to work on the front-end as needed.

• Capability to articulate a previous agentic project in detail, including architecture, trade-offs, and failures.

• Proficient in English.

• Comfortable collaborating directly with a US-based team.

• Nice to have: Experience in developing AI assistants within a SaaS product.

• Nice to have: Java and front-end experience with frameworks such as React, Vue, or Angular.

• Nice to have: Experience in protecting production databases from intensive AI workloads using read replicas, caching, or rate limiting.

• Nice to have: Familiarity with PostgreSQL and AWS.

• Nice to have: Knowledge of AI security, including prompt injection and tenant data isolation.

🏝️ Benefits

• Flexible remote work arrangement.

• GDPR-compliant management and secure storage of candidate information.

• Assurance of data confidentiality during the recruitment process.