Generative AI Developer LLM, RAG & AI Application Development
Summary
Hands-on Generative AI developer (5-10 yrs) to build LLM, RAG, document-intelligence and AI-agent features for iOwnMyBenefits, an AI-powered employee benefits/insurtech platform. Day to day: Python (FastAPI/Flask) backends, OpenAI/LLM integrations, vector search, OCR document processing, and wiring AI services into an existing WordPress-based web app via REST APIs.
About the Project
iOwnMyBenefits is developing an AI-powered employee benefits management platform that enables employees to track employer-provided and personally purchased insurance benefits, assess their coverage, identify potential gaps and obtain quotes for additional insurance products.
We are looking for a hands-on Generative AI Developer who can design, develop and integrate AI capabilities into our existing WordPress-based website and associated web application.
The selected candidate will be responsible for developing intelligent document processing, AI-powered benefits analysis, conversational AI assistants and automated workflows.
This is an opportunity to build an AI-driven fintech/insurtech application from the ground up.
Key Responsibilities
- Develop AI-powered applications using OpenAI APIs and other Large Language Models (LLMs).
- Build intelligent document processing capabilities to extract information from insurance policies, benefit statements and PDF documents.
- Develop Retrieval-Augmented Generation (RAG) systems to enable AI to understand and answer questions based on uploaded insurance documents.
- Build an AI Benefits Advisor chatbot that can understand employee benefits and respond to user queries.
- Develop AI-based insurance coverage gap analysis and comparison functionality.
- Implement AI workflows to identify coverage overlaps, limitations, exclusions and potential protection gaps.
- Build automated data extraction and structured data storage pipelines.
- Develop AI agents and workflow automation for benefits assessment, report generation and quote request processing.
- Integrate AI services with WordPress and external applications through REST APIs.
- Implement secure document processing, authentication, data privacy and access controls.
- Optimize AI response accuracy, performance, reliability and API costs.
- Work with the existing WordPress developer to integrate AI functionality into the platform.
Required Technical Skills
Programming and Backend Development
- Strong Python programming skills.
- FastAPI or Flask.
- REST API development and integration.
- JSON, SQL and PostgreSQL.
- Git and version control.
Generative AI and LLM
- Hands-on experience with OpenAI APIs (GPT models).
- Experience with Anthropic Claude, Gemini or equivalent LLMs.
- Prompt engineering and structured output generation.
- Function calling and tool integration.
- AI agent development and workflow orchestration.
RAG and Vector Databases
- Retrieval-Augmented Generation (RAG).
- LangChain, LangGraph or LlamaIndex.
- Embeddings and semantic search.
- Vector databases such as Pinecone, Chroma, Qdrant or PostgreSQL pgvector.
Document Intelligence
- PDF parsing and document processing.
- OCR technologies such as Tesseract, AWS Textract or Azure Document Intelligence.
- Extracting structured information from complex documents.
- Experience processing tables, forms and scanned documents.
AI Integration and Deployment
- Integration of AI applications with WordPress through REST APIs.
- Experience with AWS, Azure or Google Cloud.
- Docker and application deployment.
- AI output validation, error handling and monitoring.
Good to Have
- Experience in insurance, employee benefits, fintech or financial services applications.
- Experience developing insurance policy analysis or financial document processing applications.
- Knowledge of React or JavaScript.
- Experience with AI evaluation frameworks such as Ragas or LangSmith.
- Knowledge of data privacy, encryption and secure document storage.
Initial Project Deliverables
The candidate will initially work on developing the following AI capabilities:
- AI Policy Reader: Upload insurance policy PDFs and automatically extract policy details, coverage amounts, premiums, exclusions and renewal dates.
- AI Benefits Inventory: Convert extracted policy information into structured employee benefits records.
- AI Benefits Advisor: Build a conversational assistant that answers questions based on the employee's actual benefits and uploaded policy documents.
- AI Coverage Gap Analysis: Compare existing insurance coverage against employee income, family needs and financial protection requirements.
- AI Benefits Report: Generate a personalized report highlighting existing coverage, potential gaps, overlaps and recommended follow-up actions.
- AI Quote Assistant: Collect relevant information and prepare structured insurance quote requests for licensed insurance professionals.
Candidate Profile
We are looking for someone who:
- Has hands-on experience building and deploying Generative AI applications.
- Can independently develop working AI solutions rather than just experiment with prompts.
- Understands how to integrate AI models with real-world business applications.
- Can work collaboratively with an existing WordPress development team.
- Can take ownership of AI development from design through deployment.
Skills
- Agentic AI
- AI
- Anthropic
- API
- Authentication
- Automation
- AWS
- Azure
- Claude
- Cloud
- Conversational AI
- Docker
- Embeddings
- FastAPI
- Fintech
- Flask
- Gap Analysis
- GCP
- Generative AI
- Git
- JavaScript
- JSON
- LangChain
- LangGraph
- LangSmith
- LlamaIndex
- LLM
- OpenAI
- pgvector
- Pinecone
- PostgreSQL
- Prompt Engineering
- Python
- Qdrant
- RAG
- React
- REST
- Semantic Search
- SQL
- Vector Databases
- Version Control
- WordPress
- Workflow Orchestration