About the Job:
Shory is the soft revolution in the Insurtech market, pioneering a new age where insurance empowers its customers. Leveraging technology, we aim to provide ease of mind and trustworthiness in addressing insurance needs. We are seeking a seasoned Senior AI Software Engineer to join our AI team and contribute to designing and building the technical backbone of our intelligent products.
In this role, you will develop scalable, cloud-native systems that support machine learning workflows. The ideal candidate will have a strong foundation in software engineering and experience in areas such as GenAI integration (e.g., OpenAI, AWS Bedrock) or MLOps. You will collaborate with specialists in ML and data to deliver robust, production-grade AI capabilities.
Responsibilities:
- Design and implement secure, cloud-native microservices and APIs using Python for data and AI services.
- Architect LLM-integrated systems (e.g., RAG pipelines) using LangChain, vector databases, and GenAI providers (e.g., AWS Bedrock, OpenAI).
- Automate infrastructure and CI/CD workflows using Docker, Kubernetes, Helm, and Terraform across AWS and/or Azure.
- Develop scalable data pipelines with technologies such as Spark, Kafka, and Airflow to support machine learning workflows.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 3-5 years of experience in AI/software engineering or MLOps roles, building and deploying production-grade services.
- Proven experience with Python (FastAPI, Django), SQL, and cloud-native architecture (AWS or Azure).
- Hands-on experience with tools such as Kafka, Spark, Airflow, Redis, Elasticsearch, and container orchestration (K8s).
- Familiarity with GenAI tools like LangChain and RAG systems, as well as Bedrock/OpenAI APIs.
- Solid understanding of CI/CD, IAC (Terraform, Helm), and monitoring (Prometheus, Grafana).
- Experience deploying in cloud environments with EC2, Lambda, S3, RDS, EKS/ECS, etc.
