Senior AI Engineer I

Job Summary


What You Will Do As A Senior AI Engineer I

• Build and own the document ingestion and extraction pipeline: PDF and HTML input, text-layer and scanned documents, OCR fallback, layout-aware parsing
• Design the canonical output schema and the extraction logic that maps heterogeneous source formats onto it
• Implement span grounding - every extracted field carries the verbatim source text and a locator back to its origin. Preserving source text exactly is a hard product requirement, not a preference
• Build the evaluation harness: labeled golden set, per-field precision and recall, regression suite that runs on every prompt, model, or pipeline change
• Calibrate confidence scoring and set the thresholds that decide what auto-accepts versus what routes to human review
• Design and build the human-in-the-loop review workflow with the product and design partners
• Own unit economics: cost and latency per document, model tiering, caching, batching
• Instrument the system so silent failures surface, and monitor drift and regression in production
• Partner with a domain expert to define the taxonomy, adjudicate edge cases, and maintain labeling guidelines

What You Will Bring As A Senior AI Engineer I

• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
• 5+ years of hands-on with Software Engineer and ML/AI systems
• Strong experience building and owning production ML/AI systems, ideally involving LLMs, NLP, or document/information extraction pipelines
• Hands-on experience with OCR, layout-aware parsing, and processing heterogeneous document formats (PDF, HTML, scanned images)
• Experience designing evaluation harnesses and working with precision/recall or similar quality metrics for ML systems
• Experience building or partnering closely on human-in-the-loop review workflows
• Strong software engineering fundamentals, with the ability to own a system end to end in a production environment
• Proven experience working with US based business teams
• Excellent written and communication skills in English language
• Must currently reside in or are located within 150 km of Greater Delhi NCR, Greater Bangalore, or Greater Pune
• Working Hours: 8 Hours (Excluding breaks): 4 Core US Hours Overlap (7:30pm- 11:30pm IST) 4 flexible hours (IST)
• Workspace: A quiet space to work, an internet connection of at least 30 Mbps download | 10 Mbps upload

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