TINQIN

AI Engineer

• Design and implement AI-integrated backend systems, including LLM-powered agents, RAG pipelines, tool orchestration frameworks, and insurance automation workflows.
• Own technical decisions from architecture through production, addressing not only the happy path but also observability, failure handling, data quality, scalability, and performance under real-world load.
• Actively participate in product design by identifying technical risks early, proposing pragmatic solutions, and understanding the business rationale behind every feature.
• Use AI tools effectively and critically throughout the development lifecycle, including code reviews, design documentation, test generation, and debugging, while maintaining full accountability for the resulting output.
• Maintain strong engineering practices in a fast-moving environment through structured pull requests, design documentation, test strategies, CI/CD pipelines, and meaningful code reviews.
• Build lean solutions first, then iterate and scale. Avoid overengineering and evolve the architecture as product requirements mature.
• Mentor team members and help raise the overall technical standard through knowledge sharing, code reviews, and leading by example.

Senior AI Software Engineer

Security Engineer

• Identify and qualify new business opportunities within target markets
• Proactively engage prospective clients through outbound sales activities
• Manage the complete sales cycle: discovery, solution positioning, proposal development, negotiation, and closing
• Build and maintain a sustainable pipeline of net-new customers
• Present and position cybersecurity services to both technical and executive stakeholders
• Conduct needs assessments to understand client security challenges and business objectives
• Clearly articulate the value of SOC, penetration testing, and related services in business terms
• Collaborate with technical teams to prepare tailored service proposals
• Maintain accurate sales records, forecasts, and opportunity tracking
• Monitor market trends, customer needs, and competitive developments
• Provide structured market feedback to support service and go-to-market improvements

Sales Specialist – Cybersecurity

Artificial Intelligence

• Advise insurance and other regulated-industry clients on AI governance, compliance and transformation – translating regulatory requirements (EU AI Act, GDPR, DORA, NIS2, ISO standards) into practical, deliverable services;
• Drive business development: identify opportunities, prepare proposals, present to clients, and support pre-sales through to closing;
• Lead and contribute to client engagements, from scoping through to delivery;
• Build and maintain strong, trust-based relationships with clients, partners and internal teams;
• Stay ahead of regulatory change, AI developments and industry trends to anticipate client needs and open new business opportunities;
• Contribute to developing our advisory offering – its services, delivery methods and market presence.

Senior AI Software Engineer

Sales Specialist – Cybersecurity

AI Governance & Compliance Consultant, French