Senior AI Engineer
Role details
Job location
Tech stack
Job description
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., * 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
Requirements
Do you have experience in Terraform?, Do you have a Master's degree?, 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
Benefits & conditions
- 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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