AI Engineer

At mea, our mission is to make customers’ lives easier by delivering insurance-specific technology that just works. We’re building an intelligent operating layer for the insurance industry-combining a domain-specific language model (dsLM) with an insurance knowledge graph to automate workflows end-to-end and deliver operational impact from day one.

Founded in 2021 and bootstrapped to 4 straight years of profitability, mea raised $50 million from SEP in February 2026 and now serves clients across 21 countries. We are a fully remote global team of over 100 insurance veterans and technologists, spanning the UK, US, India, continental Europe, and the Middle East. With the future for innovation in insurance looking more positive than it ever has before, you will be joining us at a moment in time where what we build now will define the next era of insurance operations.

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

• 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

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

Benefits & Perks

• Competitive salary
• Medical Insurance
• Paid holidays

Location

Bangalore (Remote), India

Work Authorization

Applicants must be authorized to work in India.

Equal Opportunity

mea is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other protected characteristic. If you need reasonable accommodation during the application or interview process, please let us know.

Ready to make an impact?

Join us on our journey to revolutionize insurance.