AI Engineer: Production-Ready ML & RAG Solutions

Crowe; Boston (MA); On-site; USD 62,000 - 100,000; Full time

Job summary

Crowe's AI Engineering team is seeking an AI Engineer to advance features from Proof of Concept to production. You will refine AI solutions to be robust, scalable, and aligned with business goals, write high quality code, and participate in code reviews and testing to ensure reliability.

Required: Python, Git, independent work, clear communication, and testing discipline. Preferred: prompt engineering, RAG, ChatGPT Enterprise, Azure AI Foundry, and LLM fine-tuning; prior experience in

Qualifications

• Expertise in Python programming and Git version control.
• Strong ability to work independently and deliver efficiently.
• Comfort navigating ambiguities and iterative testing processes.
• Excellent communication to document and present technical details.

Responsibilities

• Advance features from PoC to production-ready implementations.
• Refine AI solutions to be robust, scalable, and aligned with business goals.
• Write high-quality, production-ready code and assist in code reviews.
• Develop and implement comprehensive testing protocols (smoke/unit tests).
• Support debugging and issue triage during the development cycle.
• Participate in ethical reviews and risk/security evaluations for AI projects.
• Collaborate with stakeholders to ensure alignment with business objectives.

Skills

Python

Independent work

Communication skills

Testing concepts

Tools

Git

ChatGPT Enterprise

Microsoft Copilot

Azure AI Foundry

RAG

Job description

Crowe's AI Engineering team is seeking an AI Engineer to advance features from Proof of Concept to production. You will refine AI solutions to be robust, scalable, and aligned with business goals, write high quality code, and participate in code reviews and testing to ensure reliability.

Required: Python, Git, independent work, clear communication, and testing discipline. Preferred: prompt engineering, RAG, ChatGPT Enterprise, Azure AI Foundry, and LLM fine-tuning; prior experience in