What are the responsibilities and job description for the Remote AI Developer - W2 Contract position at Computer Merchant, Ltd., The?
JOB TITLE: Sr. AI Developer
JOB LOCATION: Remote
WAGE RANGE*: 58 - 63/ hour - must be w2
JOB NUMBER: 20690
REQUIRED EXPERIENCE:
5 years related work experience, Professional experience with technical design and coding in the IT industry
Required Education:
Related Bachelor's degree or related work experience
Technology Must Haves:
Vector DB
A2A Framework
Workflow Orchistration/Development
MCP
Agent Core
Bedrock
S3
AWS
Snowflake
JOB DESCRIPTION
We are seeking a Senior AI Developer to help build the next generation of intelligent unstructured data management and intelligent document processing (IDP) solutions for our enterprise. 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 that combines AI engineering, backend development, and enterprise data architecture. You will work with AWS (Bedrock, S3, compute), Snowflake, agentic AI frameworks (AgentCore, LangGraph, etc.), automation-to-automation (A2A) solutions, 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 leveraging AWS (S3, compute, networking), Snowflake data platforms, and related managed services
Agentic AI & Automation: Develop and integrate autonomous agents using frameworks like AgentCore and LangGraph to process and route enterprise data with minimal human intervention
Workflow Orchestration: Design and implement complex, production-grade workflows using orchestration frameworks; ensure reliability, auditability, and compliance
Backend & Service Development: Build synchronous and asynchronous services, APIs, and microservices that support document ingestion, processing, and downstream consumption
Data Governance & Security: Apply data management principles, such as 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
Proficiency in backend/service development: Demonstrated expertise building scalable APIs, microservices, or event-driven systems
Cloud platform expertise: Hands-on experience with AWS (S3, EC2, or similar) and modern data warehouses (Snowflake or similar)
AI/ML development: Experience building, training, deploying, and operationalizing AI models; including working knowledge of LLMs, foundation models, prompt engineering, RAG architectures, and agentic frameworks.
Workflow orchestration: Proven experience with AWS Step Functions, Apache Airflow, Temporal, or equivalent orchestration tools in production
Data management fundamentals: Strong grasp of data modeling, pipeline architecture, quality assurance, and governance principles
Enterprise software practices: Comfortable with 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
Hands-on experience with agentic AI frameworks (AgentCore, LangGraph, or similar)
Experience with A2A (automation-to-automation) integration patterns
Experience with AWS Bedrock, Claude, or other managed foundation model services
Prompt engineering and retrieval-augmented generation (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
PREFERRED QUALIFICATIONS:
The preferred qualifications listed below reflect desired knowledge, skill, and/or experience.
Additional Preferred Qualifications:
Various Domain experience; Health Care, Financial, etc
Experience using Agile, Waterfall, or hybrid methodology
Specific tools, languages and specialty skills may vary
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#Dice
JOB LOCATION: Remote
WAGE RANGE*: 58 - 63/ hour - must be w2
JOB NUMBER: 20690
REQUIRED EXPERIENCE:
5 years related work experience, Professional experience with technical design and coding in the IT industry
Required Education:
Related Bachelor's degree or related work experience
Technology Must Haves:
Vector DB
A2A Framework
Workflow Orchistration/Development
MCP
Agent Core
Bedrock
S3
AWS
Snowflake
JOB DESCRIPTION
We are seeking a Senior AI Developer to help build the next generation of intelligent unstructured data management and intelligent document processing (IDP) solutions for our enterprise. 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 that combines AI engineering, backend development, and enterprise data architecture. You will work with AWS (Bedrock, S3, compute), Snowflake, agentic AI frameworks (AgentCore, LangGraph, etc.), automation-to-automation (A2A) solutions, 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 leveraging AWS (S3, compute, networking), Snowflake data platforms, and related managed services
Agentic AI & Automation: Develop and integrate autonomous agents using frameworks like AgentCore and LangGraph to process and route enterprise data with minimal human intervention
Workflow Orchestration: Design and implement complex, production-grade workflows using orchestration frameworks; ensure reliability, auditability, and compliance
Backend & Service Development: Build synchronous and asynchronous services, APIs, and microservices that support document ingestion, processing, and downstream consumption
Data Governance & Security: Apply data management principles, such as 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
Proficiency in backend/service development: Demonstrated expertise building scalable APIs, microservices, or event-driven systems
Cloud platform expertise: Hands-on experience with AWS (S3, EC2, or similar) and modern data warehouses (Snowflake or similar)
AI/ML development: Experience building, training, deploying, and operationalizing AI models; including working knowledge of LLMs, foundation models, prompt engineering, RAG architectures, and agentic frameworks.
Workflow orchestration: Proven experience with AWS Step Functions, Apache Airflow, Temporal, or equivalent orchestration tools in production
Data management fundamentals: Strong grasp of data modeling, pipeline architecture, quality assurance, and governance principles
Enterprise software practices: Comfortable with 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
Hands-on experience with agentic AI frameworks (AgentCore, LangGraph, or similar)
Experience with A2A (automation-to-automation) integration patterns
Experience with AWS Bedrock, Claude, or other managed foundation model services
Prompt engineering and retrieval-augmented generation (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
PREFERRED QUALIFICATIONS:
The preferred qualifications listed below reflect desired knowledge, skill, and/or experience.
Additional Preferred Qualifications:
Various Domain experience; Health Care, Financial, etc
Experience using Agile, Waterfall, or hybrid methodology
Specific tools, languages and specialty skills may vary
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#Dice
Salary : $58 - $63