Data AI Engineer

About Mindtech

Mindtech is your gateway to exciting, impactful technology projects. We specialize in

staff augmentation and end-to-end software outsourcing, connecting top Latin

American talent with global opportunities. Our agile approach ensures exceptional

service and innovative solutions for our clients.

About the role:

We are seeking an experienced AI Engineer to join our dynamic team and drive the

design, development, and deployment of cutting-edge artificial intelligence solutions.

The ideal candidate has a strong foundation in machine learning, deep learning, and

large-scale data systems, with hands-on experience in building production-grade AI

applications. You will collaborate with cross-functional teams including data

engineers, product managers, and software developers, to deliver impactful AI-driven

applications.

Technical Requirements:

- Bachelors degree in Computer Science, Artificial Intelligence, Data Science, or

a related field.

- 5+ years of professional experience in AI/ML engineering, with a proven track

record of building and deploying production-grade AI systems.

- 2+ years of experience in data warehouse with Snowflake cortex, and

orchestration with airflow.

- Expertise in Python with proficiency in leading AI/ML frameworks such as

TensorFlow, PyTorch, Hugging Face, and Scikit-learn.

- Hands-on experience with MLOps platforms, including Kubeflow, MLflow, and

Azure Machine Learning (Vertex AI/SageMaker acceptable).

- Strong applied experience with LLMs (Large Language Models), RAG

(Retrieval-Augmented Generation) techniques, and vector databases (e.g.,

Pinecone, Weaviate, FAISS).

- Practical experience with agent frameworks, workflow orchestration, and

multi-agent systems.

- Proven hands-on experience with Microsoft Foundry and Copilot Studio for

building, deploying, and governing generative AI and copilots in enterprise

environments.

- Proficiency in full-stack development, including web frameworks, backend

systems, API development (REST, GraphQL), and deployment on cloud

infrastructure (Azure strongly preferred; AWS/GCP acceptable).

- Solid knowledge of containerization and orchestration tools such as Docker

and Kubernetes.

- Familiarity with AI security, compliance, and governance standards,

particularly for regulated industries.

Responsibilities:

- Design, develop, and deploy AI/ML models for enterprise-grade applications.

- Build end-to-end ML pipelines including training, evaluation, optimization,

deployment, and monitoring.

- Architect and develop agentic AI systems including multi-agent workflows,

RAG chatbots, and intelligent automation.

- Build RAG (Retrieval-Augmented Generation) applications tailored to

insurance workflows.

- Develop multi-agent orchestration systems for complex P&C processes.

- Drive company-wide AI adoption by identifying high-impact use cases across

P&C insurance functions.

- Conduct experimentation and research with state-of-the-art AI techniques and

frameworks.

- Establish AI development standards, best practices, and governance

frameworks.

- Collaborate with our Python-strong data engineering team on backend

integrations.

- Design and implement AI solutions leveraging Microsoft Foundry and Copilot

Studio, enabling enterprise-ready generative AI use cases and integrations.

What we offer:

- 100% remote work

- Salary in USD

- Referral Program

- Growth opportunities in a fast-scaling Start-Up

- Work in global and multicultural environments