AI Engineer

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

📋 Description

• Assist an external software development team as an integral part of Inviso’s delivery group.

• Develop and manage AI capabilities within an enterprise platform.

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

• Transition AI solutions from prototypes to monitored production environments.

• Rigorously assess AI behavior and establish measurable performance metrics.

• Collaborate with product and engineering teams to identify the appropriate use of AI.

• Transform experiments into practical, reliable, measurable, safe, and cost-effective production features.

• Incorporate evaluation discipline into the delivery workflow.

• Assist client teams in making informed decisions about the real value generated by AI.

⛳️ Requirements

• Proven experience in delivering software supported by LLMs, ML models, RAG systems, or agent-based workflows to actual production users.

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

• In-depth understanding of RAG, grounding, retrieval quality, prompt design, context management, and evaluation methodologies.

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

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

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

• Experience in monitoring production AI behavior and refining systems based on empirical evidence rather than opinion.

• Strong software engineering skills with the ability to work collaboratively with backend, platform, product, and security teams.

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

• Pragmatic approach with the ability to prioritize business value and rapidly deliver useful AI capabilities responsibly.

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

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

• Desired: Experience with LLM-as-judge methodologies calibrated against human evaluation.

• Desired: Knowledge in semantic knowledge management, ontologies, knowledge graphs, or semantic layers.

• Desired: Experience with AI development lifecycle practices spanning data, build, evaluation, deployment, monitoring, and continuous improvement.

• Desired: Experience utilizing AI-assisted development tools while maintaining rigorous review, testing, and safety protocols.

🏝️ Benefits

• Paid vacation

• Vacation premium

• Aguinaldo

• Pantry vouchers

• Internet and home office allowances

• Major medical and life insurance

• Employee referral bonus program

• Annual training and professional development allowance

• Full-time employment stability

• Opportunities for continuous learning and career advancement