We are seeking a Machine Learning/AI Engineer with a blend of software engineering, cloud engineering, and data science expertise. You will work directly with our clients, owning strategy and implementation. Your day-to-day will include building large-scale LLM & agentic workflows and deploying them securely within our clients' organizations.

How You'll Make an Impact

Key Responsibilities:

- Design and deploy advanced machine learning models to solve real-world problems, transforming research concepts into impactful AI-driven applications.
- Architect LLM systems that connect to tools, data sources, and APIs -- leveraging open standards such as the Model Context Protocol (MCP) with careful attention to scoping, permissions, and reliability.
- Assess and reduce the attack surface of LLM applications; anticipate risks such as prompt injection, data exfiltration, excessive agency, and insecure output handling, and implement appropriate guardrails, sandboxing, and monitoring.
- Work closely with cross-functional teams to understand complex business challenges and deliver AI-powered solutions.
- Implement scalable data pipelines, optimize model performance and accuracy, and ensure production readiness.
- Stay abreast of the latest developments in machine learning and AI; participate in code reviews and knowledge sharing.
- Monitor and maintain deployed models to ensure continuous value delivery, directly influencing how AI benefits individuals, businesses, and society.

Requirements Must-Have Qualifications:

- Advanced English communication skills, with the ability to collaborate directly with U.S.-based stakeholders.
- 2+ years building and shipping LLM applications in production.
- 2+ years in client-facing technical roles Customer Engineer, Forward Deployed Engineer,



Sales Engineer, Solutions Architect, or Platform Engineer.
- Strong foundation in data structures, algorithms, and software engineering principles.
- Experience building LLM applications using modern patterns: tool use / function calling, retrieval-augmented generation (RAG), structured outputs, and multi-step agents.
- Proficiency in at least one programming language (Python preferred).

Education:

- Bachelor’s degree in Computer Science, Engineering, or a related technical field. Master’s or PhD preferred.

Nice-to-Have Qualifications:

- Experience training or fine-tuning models (distillation, supervised fine-tuning, policy optimization), and the judgment to evaluate models built by Epic or third-party vendors on fitness, validation and drift.
- Working knowledge of deep learning and transformer architectures.
- Cloud certifications (AWS, Azure, GCP, Databricks).

What We Offer Competitive salaries based on level and overall fit:

· Monthly grocery vouchers: MXN $4,000.

· Major and minor medical insurance.

· TotalPass wellness program membership.

· Five additional PTO days available before completing your first year.

· Employee Savings Fund.

Grow With Us

We believe career growth is an ongoing journey. Through mentorship, certification opportunities when applicable, and continuous learning, we support our associates in reaching their professional goals. Whether your aspirations involve deepening your technical expertise, expanding your project responsibilities, or pursuing future growth opportunities, Impact Advisors Mexico provides the resources and support to help you succeed.

If you are passionate about data, healthcare technology, and building meaningful analytics solutions, we invite you to explore this opportunity and apply today!

📌 Machine Learning/AI Engineer (Ciudad de México)
🏢 Impact Advisors Mexico
📍 Ciudad de México