Artificial Intelligence Developer at Exavalu
United States, , USA -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

0.0

Posted On

31 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Regulatory Requirements, Specialty Lines, Financial Services, Python, Data Security, Document Processing, Tesseract

Industry

Information Technology/IT

Description

Job Information
Department Name
Data & Analytics
Date Opened
08/28/2025
Job Type
Any
Required Skills
P&C Insurance
Gen AI
Job Location

USA

Industry
IT Services
Remote Job
About Us
Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year.
Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience.
Exavalu offers permanent remote working model as we believe in going where the right talent is.
Job Description
This is a remote position.

NICE-TO-HAVE SKILLS

  • Background in P&C insurance technology or financial services.
  • Familiarity with event-driven architectures and real-time document processing.
  • Experience with LangChain or orchestration frameworks for LLM workflows.
  • Understanding of compliance, data security, and regulatory requirements in insurance.
    Benefits
Responsibilities
  • Build PDF document ingestion pipelines for P&C Specialty Lines and identity documents (using OCR/NLP).
  • Hands-on experience with AWS Bedrock, AWS Lambda, S3, Step functions and Anthropic Claude for LLM-driven document understanding.
  • Expertise in Python for AI/ML and serverless development.
  • Implement embeddings pipelines and store/search in vector databases (Pinecone, FAISS, OpenSearch, Chroma etc.).
  • Deep understanding of LLMs, embeddings, prompt engineering, and model lifecycle management.
  • Knowledge of document parsing frameworks (Amazon Textract, PyPDF2, PDFPlumber, Tesseract).
    Requirements
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