AI Engineering Lead

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

📋 Description

• Direct the complete project delivery process, ensuring clear governance and effective communication with stakeholders.

• Guide junior engineers and take part in developing proposals and new business opportunities.

• Establish suitable AI system capabilities and communicate potential risks and trade-offs to clients.

• Create and develop production-ready RAG systems, agentic frameworks, and LLM-driven solutions.

• Utilize advanced prompt engineering methodologies.

• Conduct feasibility assessments across prompting, RAG, fine-tuning, and traditional ML.

• Develop evaluation frameworks utilizing LLM-as-a-judge methods, custom metrics, and go/no-go decision gates.

• Execute structured experiments involving prompts, retrievers, chunking strategies, and models.

• Detect and classify model failure modes.

• Construct scalable inference infrastructure and CI/CD pipelines for AI/ML models.

• Automate the MLOps/LLMOps lifecycle, encompassing tracking, versioning, deployment, monitoring, and retraining.

• Design APIs, microservices, and orchestration layers that are optimized for latency, cost, and reliability.

⛳️ Requirements

• Proficient in Python at an expert level.

• Strong understanding of Git best practices.

• Experience in ML/LLM versioning.

• Solid cloud experience with AWS, Azure, or GCP; Azure is preferred.

• Familiarity with containerization and orchestration techniques.

• Hands-on experience with RAG, including chunking, embeddings, retrieval, reranking, and evaluation.

• Demonstrated MLOps/LLMOps experience utilizing MLflow, Weights & Biases, or similar tools.

• Practical skills in evaluation design, including metrics, dataset curation, and structured experimentation.

• Experience with event-driven architectures, APIs, and microservices.

• Strong communication abilities with engineering teams and senior stakeholders.

• Preferred experience with Databricks MLOps, LLM fine-tuning, agentic GenAI systems, Infrastructure as Code, security and observability for AI services, classical ML, and contributions to open-source projects.

• Advanced English proficiency required for effective global communication.

• Over 6 years of experience in building and deploying AI solutions in production, including RAG, agentic systems, and MLOps/LLMOps.

🏝️ Benefits

• Certifications in AWS, Databricks, and Snowflake.

• AI learning paths available.

• Customized study plans, courses, and additional certifications relevant to the role.

• Access to Udemy Business resources.

• English language lessons offered.

• Opportunities for travel to industry conferences and client meetings.

• Career development plans and mentorship initiatives.

• Special recognition rewards for birthdays, work anniversaries, and personal milestones.

• Company-provided equipment for work purposes.

• Flexible work arrangements.

• Social security coverage (IMSS).

• Christmas bonus (Aguinaldo) as mandated by Mexican law.

• Vacation premium (Prima Vacacional).

• Remote work bonus provided.

• Paid leave according to Federal Labor Law (LFT).

• Additional benefits as stipulated by Mexican labor regulations.