8 months ago
Base Salary
$154k - $260k/yr
Responsibilities
- Design and implement LLM-powered systems for multi-step reasoning, evidence grounding, and decision support in high-trust domains.
- Develop agentic workflows combining retrieval, tool use, structured reasoning, and human oversight.
- Create interactive AI experiences for complex compliance and risk data.
- Build systems that reason over structured and unstructured data for regulatory interpretation, control alignment, and evidence validation.
- Ensure AI outputs are traceable, explainable, and auditable for enterprise customers and auditors.
- Architect and deploy scalable LLM, retrieval, and agent systems in production.
- Optimize AI systems for latency, cost, reliability, and evaluation in enterprise workloads.
- Embed human-in-the-loop workflows, confidence thresholds, safety guardrails, privacy-preserving data handling, robust failure modes, and transparent behavior.
- Establish reusable agentic AI capabilities that support multiple current and future product experiences.
Requirements
- At least 7 years of hands-on software engineering experience and at least 2 years specifically in ML/AI engineering.
- Proficiency in Python; TypeScript experience is a plus, especially for production AI integrations.
- Experience with vector databases such as Pinecone, Chroma, or FAISS and with RAG system design.
- Proven experience building and shipping production LLM applications involving embeddings, RAG, agent frameworks, prompt engineering, and evaluation.
- A track record of taking AI systems from concept to production and designing scalable, maintainable solutions.
- Ability to decompose complex tasks into agentic workflows and reason over high-stakes structured and unstructured data.
- Experience collaborating cross-functionally with product, compliance, security, engineering, and application development teams.
- Compliance, security, risk, or audit experience is a bonus.
- Familiarity with Snowflake-based analytics, knowledge graphs, or enterprise data platforms is a bonus.
- Experience partnering with non-technical compliance or GRC stakeholders is a bonus.
Benefits
- Hybrid work from the San Francisco office, with remote consideration for candidates across the U.S.
- Stock equity, typically in the form of Restricted Stock Units (RSUs).
- Up to 100% employer-paid medical, dental, and vision premiums for employees and dependents.
- Wellness benefits and healthcare concierge services.
- 401(k), company-paid life and disability insurance, tax-advantaged spending accounts, and discounted voluntary benefits.
- Paid parental leave after six months, Kindbody fertility and family-building benefits, and dedicated leave specialists.
- Annual professional and personal development stipends and internal learning opportunities.
- Flexible vacation policy and paid holidays.
Tech Stack
Categories
About Drata
Drata provides the trust network that enables businesses to operate, scale, and partner with confidence. Powered by AI and designed to operationalize trust, the Drata Agentic Trust Management Platform continuously interprets controls, risk, and assurance signals—reducing repetitive manual work while improving visibility into internal and third-party risk, enabling always-on audit readiness across compliance frameworks, and accelerating security reviews. Purpose-built for enterprise complexity, Drata unifies governance, risk, compliance, and assurance to deliver faster time-to-value, reduce operational overhead, and enable continuous trust for 8,000+ organizations worldwide.