Trustible is looking for an AI Engineer to help build and scale their AI Governance Platform and AI capabilities. The goal is to enable organizations to ensure trustworthy AI practices at scale, manage AI risks, and comply with regulations.
Requirements
- 1–3 years of experience working with Python in a production or near-production environment
- Experience building or integrating web services or APIs (e.g., REST, FastAPI, Django, Flask, or similar)
- Familiarity with modern AI/ML tooling, such as large language models (LLMs), prompt engineering, RAG pipelines, or ML frameworks
- Experience working with at least one cloud provider (AWS preferred) and containerized applications (Docker; Kubernetes experience is a plus)
- Comfortable writing tests, debugging issues, and shipping code as part of a CI/CD workflow
- Experience with or interest in building MLOps, governance, or GRC-related tools is a major plus
- Exposure to or interest in MCP (Model Context Protocol), AI agents, or tool-calling frameworks is a strong plus
Responsibilities
- As an AI Engineer you will help build Trustible's Governance Platform and AI capabilities.
- You will contribute to building AI agents and tooling that help organizations accelerate their AI governance operations, identify and mitigate risks of AI, and prepare for AI audits and assessments.
- You will help design and implement MCP (Model Context Protocol) servers, build and test AI agents, and develop evaluation workflows to assess AI systems and their outputs.
- You will work closely with senior engineers to ensure our AI systems are reliable, well-tested, and scalable across cloud and on-prem/hybrid deployments, and integrate with existing MLOps platforms and GRC reporting tools.
- You will be an individual contributor helping implement Python-based MCP servers, tools, and AI agents that help companies adopt trustworthy and responsible AI practices
- You will help define and follow a software development lifecycle (SDLC) process that includes weekly deployments and automated tests on top of a containerized runtime
- You will help translate regulatory and governance requirements for AI into evaluation pipelines, data models, and configurations for AI systems
Other
- You have excellent written and verbal communication skills
- You understand the amazing power of Artificial Intelligence to solve complex problems and make a positive impact in the world, but you also understand the risks it brings to perpetuate existing issues, mislead or manipulate people, and cause physical, emotional or reputational harm to people.
- You want to devote your time to help make a positive impact in the world and work with organizations of all sizes, across all industries, to improve their own internal operations.
- You are excited at the idea of growing your skillset, working outside your comfort zones and always putting your customers first.
- You are excited to work at an early stage startup and are ready to navigate some of the natural uncertainty that comes with that.
