Lead Software Engineer developing cutting-edge AI projects for Clarivate. Join a top-tier team to shape technical direction and innovate reliable software solutions.
Responsibilities
Scoping technical projects from initial ideas through implementation, taking initiative in shaping direction and contributing to strategic decisions such as whether to build capabilities in-house, use cloud-native services, or adopt open-source technologies.
Designing, developing, and maintaining backend services, including APIs, microservices, and ETL pipelines running in Azure or AWS.
Translating ideas, requirements, and problem statements from multiple teams into high-quality, reliable code and working proof-of-concepts.
Collaborating closely with Cloud Operations, Solution Architecture, Product Engineering, Product Management, and SMEs to understand needs and deliver technical solutions.
Building and iterating LLM-based or agentic AI applications, ensuring reliability, quality, and awareness of AI limitations.
Evaluating and integrating with applications written in other languages (e.g., Java, Typescript) when needed.
Leading the technical approach on assigned work by taking initiative and ownership from design through implementation.
Testing, validating, and continuously improving solutions through unit tests, automation, and iterative development.
Progressing projects from initial concept to prototype and contributing to the technical plans needed to move them toward production.
Working in an agile, fast-paced environment, adapting priorities based on business needs and contributing to a culture of continuous improvement.
Requirements
Bachelor’s degree in computer science, Software Engineering, or a related field, or equivalent experience.
5+ years of professional software engineering experience, including 3+ years developing backend systems in Python (APIs, microservices, ETL pipelines).
5+ years of experience working in cross-functional, agile teams, collaborating with Product, Cloud Ops, Architecture, Engineering, and SMEs.
1+ year of experience working with LLMs or agentic AI applications, with demonstrable understanding of their reliability challenges.
3+ years of experience working in cloud environments (Azure or AWS), including deploying or integrating backend services.
Experience contributing to or defining software architecture for complex systems.
Experience with AI/ML workflows , such as RAG, vector databases, or evaluation techniques.
Experience mentoring or providing technical guidance to other engineers.
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