Join our AI team as a Prompt Engineer to design, test, and improve prompts for large-scale document intelligence systems. You will work closely with AI engineers, domain experts, and product teams to ensure high accuracy, consistency, and scalability of AI-driven outputs. This role requires strong analytical skills, attention to detail, and ability to break down ambiguous requirements into structured logic.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Overview
We are looking for highly motivated Prompt Engineers to join our AI team and work on building and optimizing large-scale document intelligence systems. This role involves designing, testing, and continuously improving prompts and AI workflows to extract, structure, and validate data from complex, unstructured documents. You will work closely with AI engineers, domain experts, and product teams to ensure high accuracy, consistency, and scalability of AI-driven outputs.
Key Responsibilities
• Design, develop, and optimize prompts for LLM-based workflows (extraction, QA, validation)
• Work on field-level extraction logic across complex documents (PDFs, emails, Excel, etc.)
• Analyse model outputs and identify failure patterns, edge cases, and inconsistencies
• Continuously improve prompt accuracy through iterative testing and refinement
• Collaborate with domain experts to understand business context and data nuances
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• Support confidence calibration and validation logic
• Contribute to building reusable prompt templates and libraries
• Work with structured outputs (JSON, tables, schemas)
• Assist in integrating feedback loops (human-in-the-loop corrections, RLAIF)
• Document prompt strategies, assumptions, and improvements
Must-Have Skills Technical
Bachelor of Engineering Fresher/ 2 years experience
• Strong understanding of LLMs and prompt engineering concepts
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• Ability to work with: JSON, structured outputs, schema-driven extraction
• Strong analytical skills to debug model outputs
• Familiarity with: Prompt chaining, Context management, Few-shot / zero-shot techniques Problem-Solving & Thinking
• Ability to break down ambiguous requirements into structured logic • Strong attention to detail (critical for extraction accuracy)
• Pattern recognition across different document formats
• Ability to handle edge cases and exceptions Communication & Collaboration
• Clear communication of issues, findings, and improvements
• Ability to work with: AI engineers, Domain experts, Product teams
• Comfortable documenting learnings and prompt strategies
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Nice-to-Have Skills
• Experience with: LangChain / LlamaIndex / similar frameworks
• Basic Python knowledge (for testing / scripting)
• Exposure to: Document processing (OCR, PDFs, etc.)
• Understanding of: Insurance domain (underwriting, claims, SOV, loss runs)
• Familiarity with: Evaluation metrics (accuracy, precision, recall, confidence)
• Experience with: Annotation / labeling tools
Location: Bangalore, India (Open for relocation to Bangalore after few months)
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