AI Engineer

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

📋 Description

• Design and implement backend systems that drive agentic workflows across LLM, deterministic, and hybrid pipelines.

• Take ownership and enhance core infrastructure such as context memory, orchestration layers, and prompt routing systems.

• Create composable multimodal systems capable of dynamically executing workflows from unstructured inputs (text, audio, video, images).

• Optimize the latency, extensibility, reliability, and inference costs of multi-agent pipelines.

• Collaborate with stakeholders to rigorously test workflows in real-world scenarios.

• Assist in making informed decisions about the use of LLMs versus traditional systems—and how to effectively implement both.

• Develop and enhance GraphRAG-based knowledge retrieval systems utilizing Neo4j.

• Integrate and orchestrate LLM calls for document processing workflows.

⛳️ Requirements

• Over 5 years of experience in backend software engineering, ideally using Go or comparable systems languages.

• Successfully deployed agentic LLM systems in production environments (not prototypes or demos).

• Experienced in building real-time systems, distributed asynchronous queues, or performance-sensitive services.

• In-depth knowledge of prompt engineering, token budgeting, and context management.

• Strong intuition about the appropriate use of AI—and when it may not be suitable.

• Strong ability to thrive in small, high-trust teams with significant ownership.

• Familiarity with RAG, embedding stores, and vector databases.

• Experience in designing evaluations for AI agents and workflows.

• Knowledge of tool orchestration frameworks.

• Understanding of the architectural trade-offs associated with agentic systems, RAG, MCP, memory, and orchestrations.

• Capability to navigate the limitations of cutting-edge LLM technologies.

• Background in AI safety, observability, or human-in-the-loop workflows.

• Preference for building systems that are straightforward, scalable, and "good enough," without compromising maintainability or future adaptability.

• Familiar with small-team dynamics characterized by high trust, low ego, and shared accountability.

🏝️ Benefits

• Competitive salary

• Meaningful equity

• Medical, dental, and vision healthcare benefits

• Flexible PTO policy

• 401k

• Disability insurance

• Remote-first culture