Prompt Engineer

Techkrill Consulting; Bengaluru; Hybrid; INR 1,400,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Medical Insurance

Paid holidays

Job summary

Techkrill Consulting is seeking an AI Engineer to design, test, and optimize prompts for large-scale document intelligence systems. You will work on end-to-end prompt strategies, extract structured outputs, and ensure data quality across diverse documents.

You will collaborate with AI engineers, domain experts, and product teams, apply LangChain workflows, and help build reusable templates while improving accuracy and scalability of AI-driven outputs.

Qualifications

• 3+ years of experience in Prompt Engineering.
• Strong understanding of LLMs and prompt engineering concepts.
• Ability to work with JSON, structured outputs, and schema-driven extraction.
• Strong analytical skills to debug model outputs.
• Familiarity with prompt chaining, context management, and few-shot/zero-shot techniques.
• Ability to break down ambiguous requirements into structured logic.
• Strong attention to detail for extraction accuracy.
• Experience with LangChain / LlamaIndex / similar frameworks.
• Basic Python knowledge for testing/scripting.
• Exposure to document processing (OCR, PDFs).
• Understanding of insurance domain (underwriting, claims, SOV, loss runs).

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
• 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

Skills

Prompt engineering

LLM concepts

Structured output

Model debugging

Prompt chaining

Context management

Few-shot techniques

Requirements analysis

Attention to detail

Cross-functional collaboration

Documentation

LangChain

LlamaIndex

Python basics

Document processing

Insurance domain

Evaluation metrics

Annotation tools

Tools

LangChain

LlamaIndex

OCR/document processing

Python scripting

Job description

AI Engineer

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
• 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

• 3+ years of experience in Prompt Engineering
• Strong understanding of LLMs and prompt engineering concepts
• 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
• 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

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

Benefits & Perks

• Competitive salary
• Medical Insurance
• Paid holidays