AI Engineer
On-siteBengaluru, Karnataka, India
Job Summary
AI Engineer in Guidewire Professional Services based in Bangalore. You will join the AI Engineering team as a dedicated AI-side member of a Strike Team, pairing with a Product Engineer to deliver end-to-end AI productization projects. Your work centers on harness engineering to build and maintain LLM harnesses (agent loops, tool/function calling, context construction, memory, retries, failure handling), and on prompt engineering (design, iteration, versioning, evaluation). You will develop Retrieval-Augmented Generation pipelines, manage embeddings and vector indexes, implement data parsing and curation, and create accuracy validation scripts. The role includes light ML tasks, data analysis to inform AI design, and collaboration with an AI Architect and a Senior AI Engineer. KPI focus includes AI feature accuracy, prompt iteration velocity, RAG/retrieval quality, on-time deliverables, and evaluation coverage. Required qualifications include a Bachelor’s or Master’s in CS/Data Science or related field, 3+ years in AI or data science, strong Python and data science stack skills, hands-on experience with LLM harnesses and orchestration frameworks (LangChain, LlamaIndex, LangGraph) and vector databases, embeddings, and retrieval evaluation, and a strong emphasis on producing production-ready code. Preferred skills include agent frameworks, eval harnesses, cloud experience (AWS Bedrock/SageMaker), model fine-tuning, familiarity with Guidewire or insurance data, and domain analysis experience.
Desired Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field
- 3+ years of AI or data science experience
- Strong Python skills (pandas, numpy, scikit-learn)
- Hands-on experience building LLM harnesses (agent loops, tool/function calling, structured outputs) against APIs like OpenAI, Anthropic, or Bedrock
- Experience with orchestration frameworks (LangChain, LlamaIndex, LangGraph) and at least one vector database
- Experience with embeddings, similarity search, and retrieval evaluation
- Familiarity with CI/CD, Git, code review
- Experience with prompt engineering, eval harnesses, and structured prompts
- Knowledge of data parsing, RAG pipelines, and KPI-focused AI delivery
- Guidewire knowledge or insurance-domain experience a plus
- Strong analytical mindset for data-driven design decisions
- Comfort with cloud services (AWS Bedrock, SageMaker) a plus
- Experience with model fine-tuning or distillation a plus
- Ability to write production-ready code and ship features
- Excellent communication and collaboration skills
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