As a Senior AI Engineer - GenAI, you will design and develop ML and data science applications, collaborate with data scientists and business owners, and work on innovative AIML driven solutions. You will be responsible for delivering robust engineering outcomes, developing CI/CD pipelines, and improving product quality. You will also mentor data scientists and other engineers, and lead documentation efforts.
Requirements
- Substantial relevant collaborative software engineering experience
- Previous full time engineering roles in at least two companies
- Solid understanding of computer science fundamentals
- Expert familiarity with backend development in Python
- Experience designing applications using a microservices architecture
- Experience with LangChain, LangGraph, or similar LLM orchestration frameworks
- Experience deploying models in cloud environments (AWS, GCP, or Azure)
- Knowledge of Kubernetes or another container orchestration platform
- Experience with relational databases
- Experience working with large volumes of complex data with workflow management tools like Airflow
- Strong understanding of software engineering principles, version control, and testing
- Experience deploying code into production through CI/CD tools
- Experience building RESTful APIs
- Good verbal and written communication skills
- Knowledge of Agile methodology and experience working in a collaborative Agile environment
Benefits
- Competitive compensation and benefits
- The opportunity to work on transformative AI solutions in healthcare and pharma
- A collaborative, research-driven environment with real-world impact
- Career growth through innovation, mentorship, and continuous learning