Forward Deployed AI Engineer at VC-backed AI governance startup

About the role

Join a high-impact team building the real-time compliance firewall for enterprise AI. You will develop production-grade LLM agents to automate internal operations and embed with major financial institutions to deploy mission-critical safety layers.

Responsibilities

• Build and deploy production-ready LLM agents and RAG pipelines that automate complex operational and go-to-market workflows.
• Embed with enterprise customers to integrate the compliance engine into their stacks and own the end-to-end deployment.
• Debug and optimize real-time AI behavior, bridging the gap between field learnings and core product engineering.

Requirements

• 5+ years of experience shipping production software with fluency in Python, TypeScript, and cloud-native data architectures.
• Proven track record of building and scaling LLM-based automation or agents that have survived real-world production environments.
• Exceptional communication skills with the ability to navigate technical deployments and build trust with executive stakeholders.

Qualifications

• Strong background in AI and machine learning.
• Experience with large language models (LLMs).
• Knowledge of cloud-native data architectures.

Skills

• Python, TypeScript.
• Cloud-native data architectures.
• Hands-on experience with production software development.
• Experience with large language models (LLMs).
• Excellent communication and stakeholder management skills.

Benefits

• Work directly with a founding team of industry veterans from top-tier tech giants and financial institutions.
• Join a well-funded startup backed by elite VCs at the ground floor of the AI safety and compliance category.
• High-leverage position where you build the very automation that allows a lean team to scale to enterprise demands.

Pay

Not disclosed.

Schedule

Flexible schedule to accommodate the needs of the role and the team.