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AI Automation Engineer

Infinity Technologies·Salary not specified

Primary stack

DockerShell ScriptingKubernetesPythonPowerShellGCPOllamaAzurePyTorchJava

Job description

About the Position

Infinity Technologies is seeking a skilled AI Automation Engineer to design and deliver intelligent automation solutions that transform IT operations for global enterprises. You'll work at the crossroads of AI innovation and infrastructure engineering - building smart, scalable systems powered by LLMs, scripting, and cloud technologies.

Responsibilities

  • Contribute toward AI roadmap for AI-driven automation aligning with strategic company and client goals.
  • Collaborate with engineering and data teams to design and architect scalable, robust, and innovative AI solutions (e.g., automated network diagnostics, bot recommendation systems, AI agents NOC operations).
  • Act as the Solution Owner in an Agile/Scrum environment, managing the product backlog, writing detailed user stories, defining acceptance criteria, and prioritizing features.
  • Lead the evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like Llama series & other LLMs.
  • Develop and own key components of the automation framework, including PowerShell and Python runbook executors.
  • Develop and train machine learning models for tasks such as anomaly detection, predictive maintenance, and capacity planning in IT environments.
  • Work with large datasets of IT operational data, performing data cleaning, feature engineering, and data analysis to improve model accuracy and performance.
  • Contribute to the development of internal automation tools and frameworks.
  • Deliver continuous service improvements by proactively identifying opportunities for process enhancements.
  • Proficiently develop AI/Gen AI point solutions to meet business needs.
  • Troubleshoot and resolve issues related to automation systems and AI models.
  • Engage with customers, IT operators, Network Engineers, and internal stakeholders to gather requirements, validate solutions, and ensure product-market fit.
  • Serve as the Subject Matter Expert (SME) on AIOps, IT Process Automation (ITPA), and Runbook Automation (RBA), providing technical guidance and insights.
  • Document automation processes, code, and models clearly and concisely.
  • Actively contribute to team results and work towards achieving team goals and objectives.
  • Undertake designated skill/knowledge development within the organization, including training of next-level team members.

Requirements

  • 4+ years of experience in IT services, with at least 3 years in: IT Service Automation – Orchestration, Scripting, & Process Assessment. AI Engineering – Developing and deploying AI Agents and cutting-edge GenAI & ML solutions to address complex business challenges.
  • Expertise in integrating various tools and building analytics/insights.
  • Proficiency in at least two scripting languages, such as PowerShell, Python, or Shell Script.
  • Strong foundational knowledge across core IT domains, with a specific emphasis on Network & Network Services, including understanding network topologies, protocols, and common operational issues.
  • Demonstrable experience implementing solutions using state-of-the-art LLMs, with hands-on experience with both open-source models (e.g., Llama series) and proprietary models (e.g., GPT-4).
  • Proficiency with a major deep learning framework, preferably PyTorch, for model experimentation and fine-tuning.
  • Proficiency in a high-level programming language (Java, Python) and experience with containerization technologies (Docker, Kubernetes) for deploying AI models.
  • Solid understanding and practical experience with cloud platforms such as Azure or GCP, including knowledge of their networking services (e.g., VNets, VPCs).
  • Experience with AI/ML libraries and frameworks.
  • A strong understanding of ITIL process on one or more service lifecycle or service capability modules.
  • Knowledge in one or more System administrative activities like monitoring, service requests, incident management, change management, & maintenance.
  • Excellent communication skills with an ability to explain concepts and solutions clearly and concisely.
  • Experience in training/grooming people.
  • Excellent analytical and problem-solving skills.

We Offer

  • Be part of a global team building real R&D centers for industry leaders
  • Work on impactful AI projects from idea to deployment
  • Collaborate with top-tier engineers, scientists, and innovators
  • Enjoy a flexible work environment, growth opportunities, and minimal bureaucracy

About the Company

Infinity Technologies is a leading company in the field of AI and IT services, dedicated to building innovative solutions for global enterprises. Our team is composed of top-tier engineers, scientists, and innovators who are passionate about creating impactful AI projects.

© Infinity Technologies. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Infinity Technologies, headquartered in London, specializes in creating global R&D hubs to help businesses achieve their goals. Promoting fully remote teams and a lean approach, we eliminate unnecessary office costs, sales, marketing expenses, and overheads for our customers. Our innovative fractal model ensures each R&D hub functions as a self-contained ecosystem tailored to the unique needs of each customer, acting as an extension of their team to develop products, maintain services, or execute strategic objectives.We leverage over 20 trademarked frameworks for building teams, developing software products, and designing outsourcing strategies, focusing on startups andmid-sizedcustomers. Our goal is to help them globalize their R&D efforts efficiently. Infinity Technologies also maintains a library of reusable components, enabling rapid prototyping, idea validation, and faster time to market—all while reducing costs. Since 2003, we have built 81 R&D hubs and currently operate 12 active hubs with distributed teams in 21 countries.With our expertise in cost-effective practices, economies of scale, and lean methodologies, Infinity Technologies empowers businesses to innovate, grow, and succeed in a global marketplace.

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