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

India
$3,000.00 - $4,000.00 Monthly
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Sector: 

Technology

Function:

AI/ML

Contact Name:

Anh Nguyen

Expiry Date:

07-Mar-2026

Job Ref:

JN -022026-492390

Date Published:

05-Feb-2026

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.

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