AI Developer

AI Developer — Enterprise Data & Intelligent Automation ​​​​​​ - 100% Remote#26-01696

Jacksonville, FL

Remote

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Job Description

AI Developer — Enterprise Data & Intelligent Automation

100% Remote

About the Role

We are seeking an AI Developer to help build the next generation of intelligent unstructured data management and intelligent document processing (IDP) solutions. You will have a voice throughout the full development lifecycle — from concept through deployment — of cloud-native systems that securely manage, process, and enable unstructured data at enterprise scale.

This is a strategic technical role combining AI engineering, backend development, and enterprise data architecture. You will work with AWS (Bedrock, S3, compute), Snowflake, vector databases, agentic AI frameworks (Agent Core, LangGraph, MCP), agent-to-agent (A2A) integration patterns, and workflow orchestration platforms to deliver transformative capabilities across the organization.

Key Responsibilities

Develop AI-Enabled IDP Solutions

Build intelligent document processing pipelines that extract, classify, and enrich unstructured data using modern AI/ML approaches

Cloud Architecture & Implementation

Design and implement scalable, secure solutions on AWS (S3, compute, networking), Snowflake data platforms, and vector database infrastructure

Agentic AI & Automation

Develop and integrate autonomous agents using frameworks like Agent Core, LangGraph, and Model Context Protocol (MCP) to process and route enterprise data with minimal human intervention

Agent-to-Agent (A2A) Integration

Build and implement A2A communication patterns enabling autonomous systems to coordinate and hand off work across the enterprise

Workflow Orchestration

Design, build, and operate complex, production-grade workflows using orchestration frameworks (e.g., Step Functions, Airflow, Temporal); ensure reliability, auditability, and compliance

Vector Database Implementation

Architect and implement vector database solutions to support semantic search, RAG pipelines, and embeddings-based retrieval at scale

Backend & Service Development

Build synchronous and asynchronous services, APIs, and microservices supporting document ingestion, processing, and downstream consumption

Data Governance & Security

Apply data management principles — cataloging, lineage, retention, data protection — with healthcare compliance (HIPAA) and security as a foundational requirement

Mentorship & Collaboration

Partner with data engineers, platform teams, and business stakeholders to translate requirements into technical solutions; mentor junior engineers

Required Qualifications

5 years of professional software development experience, with at least 2 years focused on AI/ML development or data engineering in production environments

Hands-on experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, pgvector, or similar) supporting RAG or semantic search use cases

Direct, production experience with A2A (agent-to-agent) frameworks/patterns

Proven experience with workflow orchestration tools (AWS Step Functions, Apache Airflow, Temporal, or equivalent) in production

Working experience with MCP (Model Context Protocol) for connecting agents/tools to data and services

Hands-on experience with Agent Core or equivalent agentic AI framework

Direct experience with AWS Bedrock for foundation model deployment/integration

Hands-on experience with AWS S3 and core AWS compute services

Broader AWS platform proficiency (EC2, networking, security fundamentals)

Production experience with Snowflake or an equivalent modern cloud data warehouse

Proficiency in backend/service development

building scalable APIs, microservices, or event-driven systems

AI/ML development experience

building, training, deploying, and operationalizing AI models; working knowledge of LLMs, foundation models, prompt engineering, and RAG architectures

Enterprise software practices

CI/CD, testing, code review, security best practices, and regulatory compliance (healthcare experience a strong plus)

Preferred Qualifications

Direct experience with intelligent document processing (IDP), OCR, ICR, NLP, or information extraction

Experience with LangGraph or similar agent orchestration frameworks

Prompt engineering and RAG for domain-specific applications

Healthcare industry background

Contributions to unstructured data and AI projects

Advanced degree (BS/MS) in Computer Science, Data Science, or related field

Experience across multiple domains (healthcare, financial services, etc.)

Experience with Agile, Waterfall, or hybrid delivery methodology

Required Work Experience

5 years related work experience; professional experience with technical design and coding in the IT industry

Required Education

Related Bachelor's degree or equivalent related work experience

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