Sr. Associate Software Engineer
Duck Creek Technologies (company site, opens in a new tab)0–2 yrsBengaluruOn-siteDirect career pageEst. 6–12 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and extend LLM evaluation systems, using golden datasets and measures such as precision, recall, F1, calibration, and LLM-as-judge scoring to assess output quality.
- Model extracted information as entities and relationships in knowledge graphs, supporting graph queries, traversal, and embedding-based retrieval.
- Develop Python-based LLM pipelines using prompting, RAG, and structured outputs; deliver tested, documented code with senior engineers.
Minimum Requirements
- Work Experience Required: 0–2 years. B.Tech/M.Tech with AI/ML specialization, or CS/IT with strong, demonstrable AI coursework or projects.
- Strong Python fundamentals and data structures and algorithms; working knowledge of LLM prompting, embeddings, RAG, and basic evaluation concepts.
- A maintained GitHub profile with at least one substantive original AI/LLM project is mandatory; submit the resume with a working GitHub link. Applications without it will not be considered.
- Must reside within reasonable proximity to the role’s designated location; work may transition from remote to a leader-determined hybrid arrangement.
Ideal Candidate Profile
- An early-career candidate who has built an original LLM project and can show how they assessed whether its outputs were reliable—not just how they prompted a model.
- Best aligned with work focused on systematic GenAI evaluation and turning unstructured information into structured, queryable knowledge.
- Candidates with additional exposure to generative-AI evaluation frameworks or knowledge graphs may have an advantage; these are listed as good to have.