Description

You will build and deploy data-driven applications in an AI-first environment.

This role is hybrid.

Responsibilities

• Build backend services and APIs integrated with distributed data systems and cloud-native architectures.
• Develop and implement GenAI pipelines, including LLM integration, prompt engineering, or RAG systems.
• Write efficient, maintainable code for large-scale data applications.
• Build and manage scalable systems using microservices and REST APIs.
• Operate within modern developer toolchains, including CI/CD and containerization.

Required Skills

• 12+ years of overall work experience.
• Bachelor's, Master's, or PhD in Computer Science, IT, Engineering, or related field.
• 3+ years building backend services and APIs with distributed data systems.
• 3+ years writing maintainable code for large-scale data applications.
• 1+ years hands-on experience with GenAI (LLMs, embeddings, fine-tuning, or RAG).
• Strong programming in Python, Java, or Scala (Python preferred).
• Expertise in scalable systems using Python, Java, or C# (microservices and REST APIs).
• Hands-on experience with Kafka and cloud platforms (AWS/Azure).
• Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.

Key Skills

Education

Bachelors Degree, Masters Degree, PHD