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Principal-level data engineer who builds and enhances Databricks pipelines on Azure for healthcare data (claims, encounters, FHIR, EHR) using Python, PySpark and SQL. Works with product teams, data engineers and clinical leaders to deliver trusted, high-quality data products.
Senior Data Engineer at Nexaminds, an AI solutions company, based in Mexico (open only to Mexican citizens residing in Mexico). The role builds, optimizes, and scales production data ingestion/transformation pipelines and migration initiatives using Snowflake, Postgres, Kafka, and AWS, with 7+ years of data engineering experience and advanced English required.
Designs, optimizes, and scales Databricks-based data pipelines for AI-driven solutions, focusing on ETL/ELT workflows, cloud security, and collaboration with cross-functional teams.
Nexaminds is hiring an SDET Architect (Principal-level) to lead enterprise quality engineering: defining test automation strategy across UI, API, integration, and data layers, architecting Java-based frameworks (Selenium/Playwright, Postman/RestAssured), enforcing CI/CD quality gates, and driving responsible AI/LLM adoption in QA workflows while mentoring SDETs.
Senior Data Engineer at Nexaminds (Mexico-based, Mexican citizens only) designing, building, and maintaining scalable data pipelines and data models in a Microsoft Azure and Databricks environment, using Python/PySpark and SQL, within a collaborative Agile team.
Nexaminds is hiring a Principal Data Engineer in Canada to design, build, and evolve scalable data solutions on Microsoft Azure and Databricks, set enterprise data modeling standards, and mentor senior data engineers. Core stack: Databricks, Azure (Data Factory, Synapse, SQL, Fabric, Power BI), Python, SQL, PySpark.
Nexaminds is hiring a Platform Engineer (remote, Mexico-based only) to build cloud-native infrastructure and internal developer tooling. Day to day: improving CI/CD pipelines, deployments, observability, and developer experience on AWS, with exposure to AI-assisted tooling and LLM-powered automation.
Designs, builds, and maintains cross-platform native mobile applications using .NET MAUI and C#, integrating with RESTful backend services and SQL databases, with a focus on performance tuning and collaboration with UX/backend teams. Remote role open exclusively to candidates currently residing in Mexico.
Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
Senior/Principal AI Engineer who collaborates directly with customers to design, build, and deploy AI-powered solutions using LLMs and agentic technologies, bridging business needs with technical execution.
Hands-on AI engineer deploying production-grade LangChain/LangGraph agentic systems for consulting clients — building RAG pipelines, tool integrations, and observability with LangSmith across cloud platforms.
Designs and implements validation frameworks for AI systems like LLMs and RAG, building automated pipelines to ensure accuracy, safety, and reliability in production environments.
Principal Backend Engineer at Nexaminds building and scaling AI-driven microservices in Java/Spring Boot on Azure, while defining CI/CD pipelines and mentoring teams.
A UX Designer at Nexaminds creates intuitive, user-centered digital experiences for AI-powered products, collaborating with product and engineering teams to refine designs based on user research and feedback.
Build and scale data pipelines on Databricks using PySpark, SQL, and reusable ingestion engines while ensuring data quality in a collaborative, remote-friendly environment.
Designs and builds scalable backend services, integrates LLM APIs, and leads AI-driven architectures for cloud applications in an Agile team.
Builds and scales cloud-native backend services in Python/Java on GCP, integrating AI-assisted tooling and collaborating on secure, high-performance architectures.
Designs scalable Node.js backend services and leads AI integrations with LLM APIs in cloud-native environments while driving distributed systems and CI/CD practices.
Senior Go backend engineer building scalable APIs and cloud-native, AI-driven agentic workflows for a product-focused team.
Builds and scales backend systems for AI-driven cloud apps, integrating LLMs and deploying on GCP while writing RESTful APIs and tests.
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