Senior AI Engineer

About the Job

About You

Youre an engineer with a knack for turning ideas into highly reliable and scalable designs. Your coding skills make your work easy for other engineers to understand, modify, and enhance. You believe in the transformative power of Business Automation and are committed to integrating systems and building applications efficiently.

Qualifications

Success in this role requires:

• Mentoring and helping others to grow as engineers and developers
• Have excellent written and verbal communication skills
• Ability to excel in a distributed, remote team environment
• Self-drive to work on key initiatives
• Take pleasure in making things happen and listen to the input from peers
• Data-driven decision-making skills
• Embracing a best-idea-wins approach, regardless of the source
• Collaboration with cross-functional teams to define, design, and ship new features
• Staying current with emerging trends and technologies in AI and cloud computing

We are looking for:

• 10+ years of experience in building large-scale cloud-based distributed applications
• Strong experience in building multi-tenant SaaS applications
• Expertise with AI technologies, including LLM models, RAG, LangChain, and LlamaIndex
• Ability to design and develop scalable and robust AI-driven applications
• Excellent problem-solving, debugging, and analytical skills with great attention to detail
• Experience with microservices and cloud-based architectures/design patterns
• Demonstrated proficiency in English at the C1 level

Technical Skills:

• Extensive experience in Python and Java
• Proficient with NLP libraries and tools (spaCy, NLTK, Hugging Face Transformers)
• Skilled in model deployment frameworks (TensorFlow Serving, MLflow, Kubernetes-based deployments)
• Hands on Experience with ETL processes, data pipelines, and data warehousing solutions
• Expertise with top-tier datastores (MongoDB, AWS DocumentDB, SQL Server, MySQL)
• Proficient in Linux
• Experience with Apache Tomcat, Nginx, AWS, Docker, and Kubernetes
• Familiarity with CI/CD pipelines and tools (Jenkins, GitLab CI, CircleCI)
• Understanding of container orchestration tools and concepts
• Knowledge of security best practices in cloud and distributed applications
• Experience with infrastructure as code (IaC) tools (Terraform, CloudFormation).