Forward Deployed AI Engineer at VC-backed AI governance startup
Join a high-impact team building the real-time compliance firewall for enterprise AI.
- Develop production-grade LLM agents to automate internal operations
- Embed with major financial institutions to deploy mission-critical safety layers
Why this role is remarkable
- 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
What You Will Do
- 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
The ideal candidate
- 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
About the role
Forward Deployed AI Engineer
Salary Not Disclosed
Company Description: VC-backed AI governance startup
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
Hands-on engineering with customer-facing execution to define a new category in AI safety and governance
Skills
Fluency in Python, TypeScript, and cloud-native data architectures
Experience with LLM agents and RAG pipelines
Ability to debug and optimize real-time AI behavior
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
Not Disclosed
Benefits
Not Disclosed