Principal LLM Engineer (AWS, RAG, Healthcare) - LATAM - English Required

Work at DaCodes!
We are a high-impact software and digital transformation firm.

For over 10 years, we have built technology-driven and innovative solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results.

At DaCodes, you will have the opportunity to boost your professional development, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud infrastructures.

Our DaCoders have a significant impact on the success of our business and our clients. You will be the expert participating in our projects and will have access to disruptive startups and global brands.

Interested?

We are looking for a Principal AI Engineer with a strong ownership mindset and architectural authority to design, build, and operate production-grade AI systems powered by Large Language Models (LLMs).

This role is ideal for a senior technical leader who thrives in ambiguity, makes independent architectural decisions, and takes full accountability for mission-critical AI systems in regulated environments such as healthcare. You will not only build AI-powered features — you will define the technical direction, standards, and long-term scalability of the platform.

Requirements:
• Own the end-to-end architecture, design, and operation of LLM-powered features in production environments.
• Architect and implement scalable RAG-based systems, including vector search, embedding strategies, and document ingestion pipelines.
• Design and develop high-performance Python backend services (async, APIs, distributed systems).
• Lead frontend architecture using React and TypeScript, integrating AI capabilities into real-world user workflows.
• Define cloud-native infrastructure strategy using AWS, Docker, and CI/CD best practices.
• Ensure system scalability, observability, reliability, and security across environments.
• Make independent architectural trade-offs balancing performance, cost, scalability, and maintainability.
• Establish engineering standards and best practices for AI orchestration, evaluation, and governance.
• Design secure integrations across healthcare systems, ensuring HIPAA-aligned data protection practices.
• Proactively identify risks, propose solutions, and execute without requiring detailed guidance.
• Take full ownership of systems from ideation through deployment and long-term evolution.

Desired Profile

Experience & Seniority

• Principal-level experience as a Full Stack or AI Engineer.
• Proven experience delivering LLM-powered products to production (beyond prototypes).
• Experience acting as primary technical decision-maker for complex distributed systems.
• Background in high-impact environments with real users and measurable business outcomes.

Technical Skills

• Expert-level proficiency in Python (APIs, async programming, performance optimization).
• Strong production experience with React and TypeScript.
• Deep hands-on experience with LLMs, prompt engineering, evaluation strategies, and AI orchestration frameworks.
• Strong experience designing and operating RAG architectures and semantic retrieval systems.
• Experience with vector databases and embedding lifecycle management.
• Advanced experience with AWS cloud architecture, Docker, and modern CI/CD pipelines.
• Strong system design and architectural thinking.

Healthcare, Security & Integrations

• Experience building systems within healthcare or regulated environments is highly valued.
• Strong understanding of HIPAA and secure data handling best practices.
• Experience integrating APIs and third-party systems in compliance-heavy ecosystems.
• Awareness of intellectual property (IP) and data governance considerations in AI platforms.

Soft Skills

• Strong ownership and accountability mindset.
• Highly autonomous and comfortable making decisions in ambiguous environments.
• Strategic thinker with strong architectural judgment.
• Clear and confident English communication skills (technical and non-technical audiences).
• Builder mentality with high execution standards.
• Ability to influence technical direction across teams.

Additional Requirements

• Advanced English required (spoken and written).
• Remote position, open to candidates across LATAM.
• Availability to collaborate primarily with teams aligned to US time zones.

Benefits:
Integration to global brands and disruptive startups.
Remote work / Home office.
If a hybrid or on-site modality is required, you will be informed from the first session.
Schedule aligned with the assigned project/work cell.
Monday to Friday work schedule.
Day off on your birthday.
Major medical insurance (applies to Mexico).
Life insurance (applies to Mexico).
Multicultural work teams.
Access to courses and certifications.
Meetups with special guests from the IT industry.
Virtual integration events and interest groups.
English classes.
Opportunities within our different business lines.
Proudly certified as a Great Place to Work.