AI Engineer

Job description

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


Atlas Technica's 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 first.

At 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 ASP.NET software development (Core/WebAPI, C#, React/React.js), 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.

Desirable Qualities


+ 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.

Required Skill Profession

Other General