4–7 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate AI systems for processing mortgage and structured credit documents using LLMs, OCR, and RAG workflows.
- Collaborate with engineering architect to embed AI-assisted developer productivity tools and integrate automated CI/CD pipelines.
- Own MLOps infrastructure on GCP including model versioning, A/B testing, drift detection, and develop prompt engineering and model evaluation frameworks.
Minimum Requirements
- 4–7 years of relevant experience in AI/ML and software engineering.
- Proficiency with GCP (Vertex AI, Cloud Run), Python, Node.js, Docker/Kubernetes, Jenkins, BigQuery, and PostgreSQL.
- Experience with LLM APIs, RAG pipelines, prompt engineering, fine-tuning, vector stores, LangChain/LlamaIndex, and document intelligence technologies (OCR, NER, PDF parsing).
- Must be located in Bangalore and available for on-site work; immediate joiners or notice period of 15 days or less mandatory.
Ideal Candidate Profile
- Technical leadership experience delivering end-to-end AI features with measurable impact on document extraction accuracy and developer productivity.
- Strong domain understanding of mortgage, structured credit, or financial services document workflows preferred.
- Experienced in establishing AI engineering best practices and mentoring engineers in a sizable tech organization (50+ engineers).