Senior AI Engineer
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Before you apply
LocationUruguay
Work modehybrid
Typefull-time
SenioritySenior
Experience6+ yrs
DepartmentTechnology
Company size11+ people
PostedJul 20, 2026 · 3mo ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Jul 20, 202673% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
6+ years of professional experience in software development, solution design, or application architecture
2+ years of hands-on professional experience designing and implementing Artificial Intelligence solutions
Proven experience developing Generative AI and Large Language Model applications
Strong experience with RAG, Prompt Engineering, embeddings, semantic search, and vector databases
Experience building AI agents and implementing Tool Calling or Function Calling
Experience integrating Azure OpenAI, OpenAI APIs, or equivalent cloud-based AI services
Strong software development experience with Python and/or C#/.NET
Experience designing and integrating REST APIs
Knowledge of Git, relational databases, software architecture, and cloud-based solutions
Experience taking AI prototypes or proofs of concept into production
Ability to translate business requirements into technical AI solutions
Ability to lead technical decisions and collaborate with software development teams
Experience with Azure OpenAI Service, Azure AI Foundry, Azure AI Search, or Azure Machine Learning
Experience with Semantic Kernel, LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI
Knowledge of Model Context Protocol (MCP)
Experience with AI evaluation, observability, guardrails, and prompt management
Experience with fine-tuning or model customization
Experience with Docker, Kubernetes, CI/CD, or Azure DevOps
Experience with Angular, React, or modern frontend technologies
Experience with Azure, AWS, or Google Cloud Platform
Knowledge of Machine Learning, PyTorch, TensorFlow, or Scikit-learn
Knowledge of Responsible AI, AI governance, data privacy, and application security
Previous experience as a Technical Lead, Software Architect, AI Solutions Architect, or mentor
Skills
Python
C#
.NET
Azure OpenAI
OpenAI
Semantic Kernel
LangChain
LangGraph
LlamaIndex
AutoGen
CrewAI
Docker
Kubernetes
Azure DevOps
Angular
React
Azure
AWS
Google Cloud Platform
PyTorch
TensorFlow
Scikit-learn
Git
REST APIs
Azure AI Search
Azure Machine Learning
Azure AI Foundry
Benefits
Remote work
Flexible schedule
Training development
About the role
We are looking for a Senior AI Engineer with a strong software engineering background and hands-on experience designing, developing, and deploying production-ready Artificial Intelligence solutions.
The ideal candidate will combine solid software development and solution design experience with practical knowledge of Generative AI, Large Language Models, RAG architectures, AI agents, and cloud-based AI services.
You will work closely with software engineers, architects, and business stakeholders to identify opportunities, define technical solutions, build AI-powered applications, and take them from proof of concept to production.
Responsibilities
•
Design, develop, and deploy scalable AI and Generative AI solutions.
•
Build LLM-powered applications, intelligent assistants, copilots, AI agents, and automated workflows.
•
Design and implement Retrieval-Augmented Generation (RAG) architectures.
•
Implement semantic search, embeddings, knowledge retrieval, and vector database solutions.
•
Integrate Large Language Models through Azure OpenAI, OpenAI APIs, or equivalent AI platforms.
•
Develop prompts, tools, function-calling workflows, and agent orchestration mechanisms.
•
Evaluate and select AI models, frameworks, and architectures according to each use case.
•
Define evaluation criteria and monitor the accuracy, quality, latency, security, and cost of AI solutions.
•
Integrate AI capabilities into existing software products and enterprise applications.
•
Transform business requirements into scalable, secure, and production-ready technical solutions.
•
Provide technical leadership and define development standards and best practices for AI initiatives.
•
Collaborate with multidisciplinary technical and business teams.
Requirements
•
6+ years of professional experience in software development, solution design, or application architecture.
•
2+ years of hands-on professional experience designing and implementing Artificial Intelligence solutions.
•
Proven experience developing Generative AI and Large Language Model applications.
•
Strong experience with RAG, Prompt Engineering, embeddings, semantic search, and vector databases.
•
Experience building AI agents and implementing Tool Calling or Function Calling.
•
Experience integrating Azure OpenAI, OpenAI APIs, or equivalent cloud-based AI services.
•
Strong software development experience with Python and/or C#/.NET.
•
Experience designing and integrating REST APIs.
•
Knowledge of Git, relational databases, software architecture, and cloud-based solutions.
•
Experience taking AI prototypes or proofs of concept into production.
•
Ability to translate business requirements into technical AI solutions.
•
Ability to lead technical decisions and collaborate with software development teams.
Preferred Qualifications
•
Experience with Azure OpenAI Service, Azure AI Foundry, Azure AI Search, or Azure Machine Learning.
•
Experience with Semantic Kernel, LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.
•
Knowledge of Model Context Protocol (MCP).
•
Experience with AI evaluation, observability, guardrails, and prompt management.
•
Experience with fine-tuning or model customization.
•
Experience with Docker, Kubernetes, CI/CD, or Azure DevOps.
•
Experience with Angular, React, or modern frontend technologies.
•
Experience with Azure, AWS, or Google Cloud Platform.
•
Knowledge of Machine Learning, PyTorch, TensorFlow, or Scikit-learn.
•
Knowledge of Responsible AI, AI governance, data privacy, and application security.
•
Previous experience as a Technical Lead, Software Architect, AI Solutions Architect, or mentor.
Benefits
•
Remote Work and Flexibility: We offer the option to work remotely, providing you with the flexibility to manage your time and achieve a healthy work-life balance. If you prefer, you can also choose to work from our office in Montevideo according to your preferences.
•
Training and Development: We encourage professional growth and continuous learning. We provide unlimited access to an educational platform, internal courses, and training opportunities, allowing you to enhance your skills and stay updated on the latest technologies and trends.
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