AI Research Engineer

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

📋 Description

• Lead the design and development of cutting-edge agentic AI systems.

• Create and implement sophisticated multi-step reasoning agents, which encompass tool usage, planning, reflection, and self-improvement loops.

• Develop frameworks for effective multi-agent coordination and task decomposition.

• Enhance the reliability, latency, and cost-efficiency of agent execution.

• Architect subsystems for both short-term and long-term memory, including episodic, semantic, retrieval-based, and hybrid systems.

• Construct mechanisms for context compression, retrieval, and grounding.

• Investigate continual learning and state persistence.

• Define and implement evaluation frameworks for assessing agent performance, including task success, reasoning quality, and robustness.

• Create automated evaluation pipelines utilizing synthetic data, adversarial testing, and regression testing.

• Establish metrics and benchmarks to ensure agent reliability in production environments.

• Translate existing community research concepts into production-ready systems.

• Conduct experiments, analyze outcomes, and iterate rapidly.

• Collaborate closely with product and engineering teams to transform research into scalable real-world applications.

• Contribute to internal knowledge sharing and guide technical direction.

• Influence the core intelligence layer of Dropzone AI, shaping how agents reason, remember, and enhance their capabilities over time.

⛳️ Requirements

• Over 5 years of experience in software engineering, including at least 1 year of applying GenAI in a production setting.

• Demonstrated experience in building or researching agent frameworks and tool-using LLMs.

• Proven track record in developing or investigating memory and retrieval systems (RAG, vector DBs, hybrid retrieval).

• Proficient Python developer.

• Knowledgeable in openclaw and Claude Code harness architecture.

• Possess an early-stage startup mindset; capable of thriving in ambiguous situations and executing tasks with speed.

• Strong ownership mentality with the ability to clarify ambiguous problems.

• Ability to keep up with the latest research and apply it in real-world deployments.

• Deeply curious about turning non-deterministic LLM outputs into consistent, reliable results and replicating expert human intuitions.

🏝️ Benefits

• Equipment provided by the company.

• Health insurance covered by the company.

• 401K Plan with employer match available.

• Self-managed paid time off (PTO).

• Parental leave offered.

• Comprehensive benefits package.

• Opportunities for semi-frequent travel to professional office settings and various events, both locally and nationally.

• Overnight travel may be required.