AI Prompt Lead
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 24, 2026. mea platform scores B on the Alion truth index.
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 20+ 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.
Senior Support Engineer: Job Overview
Reports to AI Manager
Job Overview
We're looking for an AI Prompt Lead to manage a cross-functional team of prompt engineers and developers (senior and junior) delivering AI-powered products and solutions for clients. This role is ideal for someone who understands AI/LLM workflows well enough to guide technical decisions, but whose core strength is team leadership, stakeholder management, and client communication. You'll act as the bridge between our technical team and clients/stakeholders, ensuring projects are delivered on time, expectations are managed well, and the team stays productive and unblocked.
Key responsibilities
Prompt Engineering & AI Workflows
- Design, develop, and optimize prompts for LLM-based workflows (extraction, QA, validation)
- Build field-level extraction logic across complex documents (PDFs, emails, Excel, SOVs, loss runs, etc.)
- Analyze model outputs to identify failure patterns, edge cases, and inconsistencies
- Continuously improve prompt accuracy through iterative testing and refinement
- Support confidence calibration and validation logic for extracted data
- Build and maintain reusable prompt templates and libraries
- Work with structured outputs (JSON, tables, schemas)
- Integrate feedback loops (human-in-the-loop corrections, RLAIF)
- Document prompt strategies, assumptions, and improvement rationale
Team & Delivery Leadership
- Lead a team of prompt/AI engineers to deliver projects on schedule and to quality expectations
- Manage task assignments, workload balancing, and resource planning
- Collaborate with stakeholders to define priorities and resolve operational challenges
- Drive process optimization and continuous improvement across the team's workflows
- Mentor team members and support their technical growth
Cross-Functional Collaboration
- Partner with domain experts to translate insurance/underwriting business context into extraction logic
- Work closely with AI engineers and product teams to align on requirements and outcomes
- Clearly communicate issues, findings, and improvement recommendations to stakeholders
Must-Have Qualifications
Domain
- Demonstrated experience in Insurance & Underwriting
Technical
- Strong understanding of LLMs and prompt engineering concepts
- Hands-on experience with JSON, structured outputs, and schema-driven extraction
- Strong analytical skills to debug and interpret model outputs
- Familiarity with prompt chaining, context management, and few-shot/zeroshot techniques
Leadership & Deliver
- 5+ years of experience, including proven experience leading a team to deliver projects on schedule and quality
- Experience managing task assignments, workload balancing, and resource planning
- Track record of mentoring team members and supporting their professional growth
Problem-Solving & Thinking
- Ability to break down ambiguous requirements into structured logic
- Strong attention to detail - critical for extraction accuracy
- Pattern recognition across varied document formats
- Ability to handle edge cases and exceptions systematically
Communication & Collaboration
- Clear, structured communication of issues, findings, and improvements
- Comfortable working across AI engineers, domain experts, and product teams
- Strong documentation habits for prompt strategies and learnings
Nice-to-Have Skills
- Experience with LangChain, LlamaIndex, or similar orchestration frameworks
- Basic Python knowledge (for testing/scripting)
- Exposure to document processing (OCR, PDF parsing, etc.)
- Familiarity with evaluation metrics (accuracy, precision, recall, confidence scoring)
- Experience with annotation/labeling tools
Benefits & Perks
- Competitive salary
- Medical Insurance
- Paid holidays
Location
Bangalore
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.