Senior Ai Developer (Latam) | Remote, Gobernador Gálvez

Overview
We're looking for a Senior AI Developer who blends deep technical skill with strong product sense.
Someone who loves understanding real customer problems, builds AI systems that directly improve user experiences, and thrives in a fast‐moving, fully remote team.
You'll design and ship LLM‐powered agents, AI workflows, and intelligent automation that support mission‐critical healthcare operations.
What You'll Do
Create, develop, and manage AI‐driven features and systems focused on Generative AI, ensuring intelligent and production‐ready product experiences.
Implement and embed AI functionalities such as large language models (LLMs), agents, embeddings, and inference pipelines within backend applications and services.
Design AI process flows including prompt management, tool integration, retrieval‐augmented generation (RAG), and dynamic model selection.
Take full responsibility for the AI system lifecycle — from initial experimentation and prototyping through deployment, monitoring, and ongoing refinement.
Develop scalable APIs and services that provide AI capabilities securely and dependably to various product interfaces.
Work collaboratively with product, backend engineering, and design teams to convert business challenges into impactful AI‐based solutions.
Maintain high‐quality AI systems through rigorous evaluation, testing, observability, and performance tracking.
Tackle AI‐specific challenges such as minimizing latency, optimizing costs, ensuring reliability, reducing hallucinations, and enforcing safety measures.
Keep up‐to‐date with the latest AI models, tools, and best practices, applying them effectively to practical applications.
Design and incorporate AI functionalities aligned with Generative AI into both product features and backend infrastructure.
Construct and sustain AI workflows like prompt orchestration, retrieval augmentation, and agent‐driven execution to address genuine product needs.
What We're Looking For
Over 5 years of professional experience in software engineering, including a minimum of 3 years developing AI‐driven systems deployed in production environments.
Extensive expertise in embedding large language models (LLMs), machine learning models, or AI services within backend architectures and applications.
Deep knowledge of AI system design methodologies, such as retrieval‐augmented generation (RAG), intelligent agents, prompt engineering, and workflow orchestration.
Proven experience in creating and utilizing APIs tailored for AI‐enhanced services.
Practical skills in assessing model quality, efficiency, and dependability under real‐world conditions.
Proficient programming capabilities in at least one backend language like Python, Node.js, Java, or equivalents.
Competence in evaluating and balancing trade‐offs among accuracy, response time, cost, and system complexity.
Direct experience in developing AI‐based features leveraging contemporary AI models or frameworks focused on Generative AI.
Strong grasp of the compromises involved in AI system design, including factors such as precision, latency, expense, and reliability.
Nice‐to‐Haves
Hands‐on experience with training, fine‐tuning, or customizing machine learning models for deployment in production environments.
Knowledge of vector databases, embedding methods, and techniques for semantic search.
Understanding of AI safety protocols, governance frameworks, and ethical AI practices.
Background working with multi‐modal AI technologies encompassing text, image, and speech data.
Involvement in developing the Maple digital health platform.
Expertise in creating healthcare‐specific AI functionalities with a focus on privacy, safety, and compliance with regulations such as HIPAA.
Familiarity with Retrieval‐Augmented Generation (RAG) methods and vector database integration to incorporate proprietary clinical and operational information.
How You Would Fit
Strong Ownership – you embrace full responsibility from start to finish, focusing not just on tasks but on delivering meaningful results.
Clear Communication – you proactively provide context, express ideas clearly, and simplify complex concepts for your team.
Problem Solving – you swiftly transform uncertainty into clear, actionable plans by breaking down challenges.
Structural Thinking – you create scalable, well‐designed systems grounded in logical reasoning rather than quick fixes.
High Velocity – you prioritize steady progress, deliver in iterative cycles, and understand how momentum drives success.
#J-*****-Ljbffr