Senior AI/ML Engineer

**Apply Now** Enable to save this job to your wishlist SENIOR AI/ML ENGINEER **Apply Now** Enable to save this job to your wishlist COUNTRY Argentina, Chile, Colombia, Costa Rica, Mexico FORMAT Remote JOB POSTED 0 day(s) ago Svitla Systems Inc. is looking for a **Senior AI/ML Engineer** for a full\-time position (40 hours per week) in Costa Rica, Mexico, Argentina, Colombia and Chile. The client is a modern mental health care company focused on providing accessible, high\-quality therapy services. An AI/ML Engineer will help build and scale the next\-generation AI platform. This role sits at the intersection of data/AI platforms and MLOps, with a focus on enabling traditional AI and LLM\-based systems, retrieval/search infrastructure, and integrating models with enterprise tools. You will collaborate closely with the Data/AI Platform team and the applied AI engineer to build, deploy, and maintain machine learning models that deliver meaningful outcomes across our behavioral health technology and EHR platform. You will partner with product, engineering, data, and clinical teams to implement high\-quality, scalable, and ethical AI solutions in real\-world applications. Additionally, you will establish best practices, patterns, and architectural guidelines for the rest of the team to follow. REQUIREMENTS: * 5\+ years of experience in platform/infrastructure engineering, with demonstrable recent work on LLM\-based systems. * Strong knowledge in Python (or equivalent language) and experience with ML frameworks/libraries (ex, TensorFlow, PyTorch, scikit\-learn). * Experience building APIs, services, or microservices. * Knowledge of vector databases or search systems. * Understanding of LLM application patterns: RAG, embeddings, prompt orchestration, and tool calling. * Experience with basic MLOps practices: model deployment, monitoring, pipeline automation, CI/CD. * Understanding of deploying models into production or near\-production environments (cloud environments like AWS, Azure, GCP, or containerised/micro\-services infrastructure). Knowledge of GCP is strongly preferred. * A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn. * Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering, or a related field. RESPONSIBILITIES: * Design and implement MCP servers that expose internal data/services to LLMs. * Build secure, structured endpoints for model context access. * Integrate MCP services with model inference APIs. * Implement and operate a vector search engine. * Deploy models to production (cloud, on\-premises, or hybrid) and integrate with upstream/downstream systems (EHR modules, APIs, microservices, dashboards). * Monitor model performance in live settings (accuracy, drift, bias, fairness, reproducibility), and iterate on models to maintain or improve reliability and relevance. * Build/maintain machine learning pipelines and work with the data platform team to connect AI workloads to core datasets. * Ensure security, permissions, and monitoring of AI systems. * Implement cost monitoring and usage tracking for AI workloads across internal teams. * Partner with cross\-functional stakeholders (data scientists, data engineers, SDEs) to deploy these capabilities. * Stay informed about emerging AI/ML techniques, tools, and best practices (including AI ethics, bias mitigation, interpretability), and proactively bring forward improvements or innovation. * Contribute to a culture of continuous improvement, knowledge\-sharing, and mentoring of junior team members. NICE TO HAVE : * Experience in healthcare, behavioral health, EHR systems, or regulated industries * Familiarity with MLOps practices: CI/CD for models, model monitoring, drift detection, and model governance. * Experience with NLP (clinical text) or computer vision (imaging) tasks. * Familiarity with cloud\-native services for ML (e.g., AWS SageMaker, Azure ML, GCP AI Platform) and related infrastructure (Docker, Kubernetes). * Awareness of AI ethics, bias/fairness issues, and model interpretability techniques. * Experience mentoring others or leading small technical initiatives. WE OFFER * US and EU projects based on advanced technologies. * Competitive compensation based on skills and experience. * Regular performance appraisals to support your growth. * Comprehensive private medical insurance. * Christmas Bonus in the amount of 50% of the monthly payment. * Bonuses for recommendations of new employees. * Bonuses for article writing, public talks, other activities. * 15 vacation days, 10 holidays, sick leaves. * Personalized learning program tailored to your interests and skill development. * Free tech webinars and meetups organized by Svitla. * Fun corporate online\\offline celebrations and activities. * Well\-established remote culture. * Awesome team, friendly and supportive community! ABOUT SVITLA **Svitla Systems** is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients — from innovative start\-ups to Fortune 500 companies. Our success is built on partnership. By integrating seamlessly with clients’ teams, we create lasting collaborations that drive real results. We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth. Svitla is proud to be an equal opportunity employer. All qualified applicants will receive consideration for cooperation without regard to age, gender identity, sexual orientation, religion, race, color, national origin, disability, or any other characteristic protected by applicable law. Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world. Together, we are coding a brighter tomorrow — and living it. **Join us!** LET'S MEET IN PERSON ### **Olena****Kokoieva** ### **RECRUITER** Email: o.kokoieva@svitla.com LinkedIn: Olena Kokoieva