AI Solution Engineer GenAI Implementations

AI Solution Engineer - GenAI Implementations - Insurtech | 60K

TechForce seeks skilled AI Solutions Engineers for our Hong Kong-based AI Solutions team. Deploy cutting-edge GenAI solutions across insurance and banking sectors, powering transformative projects with immediate impact while working closely with our Shanghai AI team.

Role Summary

Hands-on engineers will build and deploy GenAI applications using Python frameworks, addressing urgent demands in financial services. Collaborate seamlessly with our Shanghai AI team and business stakeholders to deliver scalable AI solutions across diverse insurance and banking challenges.

What You'll Do

Partner with business teams to uncover AI opportunities, iterating on GenAI models with LangChain/LangGraph to solve high-stakes problems like real-time risk modeling and hyper-personalized banking experiences.

Dive into dynamic brainstorming sessions with HK and Shanghai AI engineers, prototyping cutting-edge RAG systems, autonomous agents, and advanced prompts that push the boundaries of what's possible in regulated finance.

Engineer end-to-end AI pipelines from experimentation to production deployment, optimizing for edge cases in fraud detection, compliance-heavy workflows, and massive-scale data challenges.

Tackle rapidly evolving GenAI frontiers—fine-tuning LLMs, building multi-agent systems, and experimenting with emergent capabilities—while driving measurable business transformations through clever technical innovations.

Design hybrid AI architectures blending symbolic reasoning with neural networks, stress-testing them against volatile market data for robust insurance underwriting and banking fraud prevention.

Lead technical spikes on emerging tools like vector databases and orchestration layers, sharing breakthroughs in cross-team hackathons that accelerate deployment across global financial use cases.

Benchmark and evolve model performance through A/B testing and reinforcement learning loops, turning raw business pain points into production-grade AI that scales seamlessly with enterprise demands.

Requirements

4-10 years practical AI/data experience, core Python with GenAI tools; hands-on deployment essential.

Deep AI foundations for insurance/banking adaptations; frameworks like LangChain/LangGraph preferred.

Prioritize technical depth; strong communication for business partnerships and cross-team brainstorming via TechForce