Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.
We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
We seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.
Work location - remote from Ukraine
If you are interested in this opportunity, please submit your CV in English.
Requirements:
- Excellent customer-facing skills to understand and address client needs effectively
- Ability to design and implement cloud solutions and to build GenAI pipelines on AWS
- Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
- Fluency in Python, a good understanding of Linux, and mandatory hands-on production experience with PyTorch
- Ability to understand tools used by data scientists and experience with building Generative AI applications beyond notebooks or demos
- Good understanding of supervised and unsupervised learning, and deep learning concepts
- Fluent written and verbal communication skills in English
- Ability to work hands-on, independently, and deliver under real project constraints
- Bachelor’s or Master’s degree in AI-related fields - an advantage
- Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc.) - an advantage
- Experience with Docker and Kubernetes - an advantage
- Experience with Azure or GCP (DevOps/MLOps) for ML or GenAI workloads - an advantage
- ML certification (AWS ML Specialty or similar) - an advantage
Key Responsibilities:
- Developing backend Generative AI solutions and POCs, utilizing RAG pipelines, agent-based systems, and LLM-powered services
- Taking existing ML or customer-provided code and adapting it for training, fine-tuning, and production deployment using PyTorch
- Developing and optimizing fine-tuning workflows, model evaluation, benchmarking, and inference optimization
- Provision of ML AWS resources and infrastructure primarily using managed and cloud-native services
- Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
- Deploying Machine Learning models in production and ensuring they are observable and monitorable
- Collaborating with Solution Architects and DevOps teams on scalable and cost-efficient AI infrastructure
- Learning new skills and technologies quickly to stay up to date with rapidly evolving GenAI tools
- Using and writing Terraform libraries for infrastructure deployment
- Maintaining infrastructures and environments of all types, from dev to production
- Security monitoring and administration
Why join Automat-it?:
- Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
- International work environment
- Referral program – enjoy cooperation with your colleagues and get a bonus
- Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
- English classes
- Soft skills training
Country-specific benefits will be discussed during the hiring process.
Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.
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