Job Details

This range is provided by Vaco by Highspring. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$60.00/hr - $65.00/hr

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***Software engineer AI***
***100% Remote***
***2-3month Contract on W2***

***Solid understanding of machine learning required***
***Experience training large language models (LLMs) required***

[Determining compensation for this role (and others) at Vaco depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Vaco believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure: [$60/Hr - $65/Hr]. The individual may also be eligible for discretionary bonuses.]

Role Overview:
We are seeking a creative and detail-oriented software engineer to support our Technical Architect in building and maintaining AI-powered FinTech systems. Develop computer vision, exception handling, and conversational AI services using modern microservices architecture. Work across the full stack from AI model integration to cloud infrastructure deployment.

Key Responsibilities:
AI Systems Development:

• Develop and maintain AI services for check processing, exception handling, and chat agents
• Integrate multi-modal AI models (vision + language) with business logic
• Implement dual client architecture (REST API + MCP chat interfaces)
• Build human-in-the-loop workflows and confidence threshold systems
• Support AI model validation, testing, and deployment processes

• Deploy and maintain cloud infrastructure using Azure services and Terraform
• Implement microservices architecture with Dapr service mesh
• Build containerized applications with Docker and Kubernetes
• Integrate AI systems with client applications and frontend interfaces
• Support CI/CD pipelines and automated deployment processes

• Collaborate with Technical Architect on system design and implementation
• Develop Python services using FastAPI, Pydantic, and Instructor frameworks
• Build React/Next.js frontend applications for AI system interfaces
• Implement self-hosted AI deployments with Ollama and open-source models
• Support testing, validation, and performance optimization efforts
  

• 5+ years professional software engineering experience
• Strong Python expertise with FastAPI, Pydantic, and modern frameworks
• Proficiency with AI development tools (Cline, Cursor, Windsurf, GitHub Copilot)
• Understanding of microservices architecture and API design

• Experience with AI/ML systems and model integration
• Knowledge of containerization (Docker, Kubernetes) and cloud platforms
• Understanding of Model Context Protocol (MCP) and AI agent frameworks
• Experience with Azure cloud services (AKS, ACR, related resources)
• Familiarity with CI/CD pipelines and DevOps practices

• Strong understanding of structured prompt engineering principles
• Experience with distributed systems and service mesh architectures
• Knowledge of database systems and caching (Redis)
• Version control and collaborative development practices (Git)
• Ability to work effectively with technical architects and cross-functional teams
  

• Experience with self-hosted AI systems (Ollama)
• Knowledge of multi-modal AI models and computer vision systems
• Understanding of exception handling and financial document processing
• Experience with AI model monitoring and performance optimization

• Experience with Terraform and infrastructure-as-code
• Knowledge of Dapr service mesh and sidecar patterns
• Background in financial services or regulated industries
• Experience with performance optimization and scalability challenges
• Understanding of security requirements for sensitive data processing

• Experience mentoring junior developers
• Strong communication skills with technical and non-technical stakeholders
• Ability to work independently and manage multiple technical tasks
• Experience with Agile development methodologies
  

• Work with cutting-edge self-hosted AI systems in production
• Build both programmatic APIs and conversational chat interfaces
• Contribute to mission-critical financial document processing systems
• Support complete AI system lifecycle from development to deployment
• Collaborate closely with technical architect on innovative AI solutions

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Software Development

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