Senior GenAI Engineer- Contract- Remote- 4k- Insurance

Key Responsibilities

• Build and integrate generative AI applications for customer interactions using LLMs and orchestration frameworks

• Design, develop, and scale internal AI agents and customer-facing agentic solutions, including GenAI-powered contact centers

• Design and deploy custom solutions on AWS Bedrock using foundation models from leading providers

• Fine-tune and evaluate LLMs using proprietary and external datasets

• Build scalable APIs and backend services to support real-time AI inference

• Ensure reliability, accuracy, privacy, and safety of GenAI outputs through testing and monitoring

• Contribute to Responsible AI governance, ensuring transparency, data privacy, and regulatory compliance

• Apply GenAI to additional business use cases such as document processing, claims decisioning, and reporting

• Support and shape the global GenAI roadmap, providing expert guidance on technology adoption

• Document solutions and collaborate with engineering, product, and customer teams to align requirements and delivery

• Track industry trends and recommend tools, frameworks, and approaches to improve system capability and performance

Qualifications & Skills

Must Have

• 6+ years of experience in AI / Machine Learning, including 3+ years in ML Engineering, NLP, Generative AI, or LLMs

• Hands-on experience with LLM agentic workflows and frameworks(LangChain, LangGraph, LlamaIndex, etc.)

• Strong understanding of transformer architectures, prompt engineering, RAG, guardrails, and LLM evaluation

• Advanced Python skills and experience with ML frameworks such as PyTorch and scikit-learn

• Experience with cloud platforms, preferably AWS(including AWS Bedrock)

• Proficiency in spoken and written English(minimum B2/C1 level)

• Strong analytical, problem-solving, and communication skills

• Ability to work independently and collaboratively in cross-functional teams

Nice to Have

• Hands-on experience with MLOps / LLMOps

• Experience designing and managing distributed LLM training pipelines

• Exposure to Voice Conversational AI

• Background in regulated industries such as insurance or financial services

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.