Applied AI/ML Engineer

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

📋 Description

• Take charge of the design and implementation of all AI/ML systems on the platform.

• Create and sustain a prompt engineering infrastructure that includes versioned prompts, A/B testing, and regression analysis.

• Develop and refine structured extraction pipelines for intricate, regulated documents, covering everything from initial parsing to multi-step reasoning and validation of outputs.

• Design the framework for agent orchestration that supports task agents, QA agents, and operational agents.

• Set AI quality standards, such as confidence thresholds, triggers for human escalation, and output validation processes.

• Collaborate with the Lead Backend Engineer on the design of the model abstraction layer and API integration.

• Work alongside domain experts to design extraction schemas and workflow logic.

• Build production-ready structured data extraction pipelines for complex, multi-page domain-specific documents.

• Develop systems for model abstraction, agent orchestration, QA agents, training/evaluation agents, and RAG functionalities.

⛳️ Requirements

• Minimum of 5 years of software engineering experience, with at least 2-3 years dedicated to the development of production LLM applications.

• Proficient in Python.

• Strong skills in API integration.

• Experience in deploying AI systems at a production scale.

• Extensive knowledge of building reliable systems around Claude, GPT, or similar LLM APIs, beyond merely calling them.

• Familiarity with agent frameworks such as LangChain, LlamaIndex, or custom orchestration solutions.

• Knowledge of RAG architecture, including vector databases, embedding models, and optimization of retrieval processes.

• Expertise in prompt engineering, which encompasses systematic evaluation, regression testing, and prompt version control.

• Experience dealing with sensitive or regulated data, such as HIPAA, FERPA, or comparable standards.

🏝️ Benefits

• Performance bonuses based on deliverables and KPIs (10-20% of Base Salary).

• Comprehensive medical, dental, and vision insurance.

• Unlimited paid time off along with company holidays.

• 401(k) eligibility from the start, with employer matching.

• Options for remote or hybrid work schedules.