GRC/Compliance Lead

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Provide support to an external software development organization as a member of Inviso’s delivery team.

• Develop and manage AI functionalities across an enterprise platform.

• Create agent runtimes, model routing, RAG, tool/function calling, guardrails, evaluation, monitoring, cost management, latency optimization, and quality controls for production.

• Deliver AI capabilities that are operational in production environments rather than just demonstrations.

• Transition AI systems from the prototype stage to monitored production environments.

• Rigorously assess AI behavior and collaborate with product and engineering teams on decisions regarding AI solutions.

• Transform experimental outcomes into production-ready features.

• Integrate evaluation disciplines into the delivery workflow.

• Assist client teams in making informed choices about where AI can create genuine value.

⛳️ Requirements

• Proven experience in deploying software powered by LLMs, ML models, RAG systems, or agentic workflows to end-users in real production settings.

• Proficiency in designing or implementing agent runtimes, orchestration, model routing, tool/function calling, or AI workflow patterns.

• Strong grasp of RAG, grounding, retrieval quality, prompt design, context management, and evaluation methodologies.

• Experience in creating evaluation harnesses, golden sets, regression checks, quality gates, or frameworks for measurable AI performance.

• Capability to prioritize cost, latency, reliability, and safety as primary engineering constraints.

• Experience in establishing guardrails and controls for AI systems, particularly concerning untrusted retrieved content, tool output risks, and potential failure modes.

• Background in monitoring the behavior of production AI and enhancing systems based on empirical evidence.

• Strong software engineering capabilities.

• Ability to work collaboratively with backend, platform, product, and security teams.

• Excellent communication and collaboration skills suited for client-facing consulting environments.

• A pragmatic approach focused on delivering business value responsibly.

• Familiarity with Claude, GPT, Azure OpenAI, open-source models, model routing, fine-tuning, distillation, or small/edge models.

• Experience with MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation techniques.

• Experience with LLM-as-judge methodologies calibrated against human evaluations.

• Knowledge of semantic knowledge management, ontologies, knowledge graphs, or semantic layers.

• Understanding of AI development lifecycle practices encompassing data, build, evaluation, deployment, monitoring, and continuous improvement.

• Proficient in utilizing AI-assisted development tools while ensuring rigorous review, testing, and safety protocols.

🏝️ Benefits

• Paid vacation.

• Vacation premium.

• Aguinaldo.

• Pantry vouchers.

• Internet allowance.

• Home office allowance.

• Major medical insurance.

• Life insurance.

• Employee referral bonus program.

• Annual training and professional development allowance.

• Full-time employment stability.

• Continuous learning and opportunities for career growth.