AI Engineer

Position Name: AI Engineer
Reports to: DevOps Manager
Location/Type: UA Remote

Atlas Technicas mission is to shoulder IT management user support and cybersecurity for our clients who are hedge funds and other investment firms. Founded in 2016 we have grown 100% year over year through our uncompromising focus on service.

We value ownership execution growth intelligence and camaraderie. We are looking for people who share our Core Values thrive and contribute to this environment while putting the customer Atlas Technica we offer a competitive salary comprehensive benefits and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

We are seeking an individual with experience in AI Engineering to join our DevOps team. The goal of this role is to design and deploy intelligent chatbots using Azure Bot Framework OpenAI and Cognitive Services. Build data pipelines and fine-tune NLP models with Azure ML. Integrate AI with enterprise systems via RESTful APIs ensuring compliance with security and privacy standards. Stay current with LLM advancements collaborate across teams and mentor junior engineers.

Responsibilities

• AI Agent & Chatbot Development
  Design build and deploy intelligent conversational agents using Azure Bot Framework Azure OpenAI and Cognitive Services.
  Develop prompt strategies and manage datasets to support context-aware multi-turn dialogue and accurate responses.
  Conduct rapid prototyping to validate technical feasibility and demonstrate business value of AI-driven solutions.
• Data & Model Engineering
  Build and maintain robust data pipelines to support training and inference workflows.
  Configure train and fine-tune machine learning models using Azure Machine Learning with a focus on NLP and LLMs.
  Evaluate and optimize AI system performance for accuracy scalability latency and cost-efficiency.
• System Integration & Architecture
  Architect and implement integration between AI and enterprise systems (e.g. ConnectWise Manage Confluence etc) using RESTful APIs.
• Security Compliance & Governance
  Ensure AI systems comply with data privacy regulations (e.g. GDPR) and enterprise-grade security standards.
  Implement access controls data encryption and audit logging for sensitive AI workflows.
• Research & Innovation
  Stay current with evolving LLM technologies frameworks and methodologies.
  Evaluate emerging tools and techniques to continuously improve solution quality and delivery speed.
• Collaboration & Leadership
  Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
  Contribute to technical and architectural decisions ensuring alignment with strategic goals.
  Mentor junior engineers and support knowledge sharing across the team.
• Operational Excellence
  Take ownership of production releases incident resolution and bug fixes.
  Create and maintain technical documentation for AI systems models and integration workflows.

Requirements:

• English level B2 or higher
• 5 years of experience in AI engineering and software development (Core/WebAPI C# React/) with a focus on Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions plan reason and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Advanced expertise in machine learning deep learning and NLP including pipelines model fine-tuning embeddings and transformer-based architectures.
• Strong understanding of large language models (LLMs) their limitations and modern capabilities (e.g. GPT Claude Gemini) as well as practical experience with Retrieval-Augmented Generation (RAG) and optimizing retrieval pipelines.
• Hands-on experience with Azure AI services (Azure Machine Learning Cognitive Services Bot Framework) and knowledge of MCP or similar protocols for secure scalable integration between AI agents and enterprise systems.
• Familiarity with deploying monitoring and maintaining ML models in production environments.
• Ability to write clean maintainable and testable code following SOLID principles and Clean Architecture patterns.

DesirableQualities

• Understanding of retrieval systems (keyword search vector search embeddings) and ranking algorithms
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with Azure Cosmos DB.
• AI-102
• Prior experience integrating AI agents with enterprise platforms like ConnectWise Manage Confluence SPO etc.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race religion color national origin gender sexual orientation gender identity age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics.