AI Developer

Overview

Remote
Depends on Experience
Contract - W2
Unable to Provide Sponsorship

Skills

AI
ML
AWS
LLM
Gen AI

Job Details

System Soft Technologies is widely recognized for its professionalism, strong corporate morals, customer satisfaction, and effective business practices. We provide a full spectrum of business and IT services and solutions, including custom application development, enterprise solutions, systems integration, mobility solutions, and business information management. System Soft Technologies combines business domain knowledge with industry-specific practices and methodologies to offer unique solutions, and enable clients to compete with global standards. We find a client-centric approach and a passion for excellence is key in distinguishing ourselves from our competition and in accompanying you on your journey.

Qualifications and Responsibilities for AI Developer

Desired Skill set:

  • 5+ years of design, implementation, or consulting in applications and infrastructures experience
  • Strong familiarity with AWS cloud services.
  • 3+ years of experience in various phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS technologies.
  • Experience in implementing AI/Generative AI solutions using AWS Sagemaker, AWS Bedrock and other AI services like AWS Transcribe, AWS Textract, AWS Kendra, AWS Translate and AWS Rekognition, etc.
  • Demonstrated understanding of prompt engineering and application of it to mentioned use cases.
  • Evaluate LLM outputs for hallucination, toxicity, bias, and factual correctness.
  • Implement context caching and memory management patterns to implement well performing applications.
  • Coding experience in implementing solutions using various AWS Services.
  • Proficiency in programming languages such as Python and NodeJS preferred.
  • Proficiency in creating and using REST APIs.

Essential Duties and Responsibilities:

  • Work with technical andbusiness teams to develop GenAI solutions for scenarios like
    • Text Extraction
    • Speech to Text
    • Chat Assistant with Knowledge Base
    • Chat Assistant with Transactional Data
    • Workflow Automation using AI Agents
  • Apply your knowledge of Gen AI frameworks and deployment architectures to build solutions and recommend best practices.
  • Evaluate options, develop Proof of concepts, and review code and solutions from other team members.
  • Understanding of full-stack architecture is a strong plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.