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AI Engineer

Technocraft Solutions

 

United States

Posted On: 9 days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: AI ENGINEER
Tenure: Contract - Corp-to-Corp
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Description

  • Design, build, and ship AI-enabled solutions that integrate with enterprise platforms, business workflows, and data systems 
  • Use AI coding tools and agents across requirements, development, testing, and deployment 
  • Build APIs, microservices, and cloud-native components with strong CI/CD, DevSecOps, and observability practices 
  • Review, validate, and refine AI-generated code to keep it clean, secure, and maintainable 
  • Collaborate closely with product, architecture, and business stakeholders in an agile team 

Required Qualifications 

  • 5+ years of software engineering experience, with a proven track record in APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability 
  • 5+ years working on agile and lean teams, including practices such as pair or mob programming 
  • 3+ years building solutions on a Python stack, with hands-on experience in generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval 
  • 2+ years integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes 
  • Strong communication skills for cross-functional collaboration and stakeholder interaction 

How You Work with AI 

What sets candidates apart is how effectively they build with AI today. You will stand out if you: 

  • Use tools such as Claude Code, GitHub Copilot, or similar naturally throughout your workflow 
  • Know when to trust AI output and when to challenge, correct, or rewrite it 
  • Move quickly from requirements to working software while keeping quality high 
  • Are comfortable working with AI agents and automated workflows across the lifecycle 
  • Learn new tools, models, and practices quickly as they evolve 
  • Focus on outcomes and enjoy fast-moving environments 

Nice to Have 

  • Familiarity with MLOps tools and workflows for monitoring prediction accuracy, detecting feature drift, and assessing model fit or degradation 
  • Experience in healthcare or claims processing environments

Education

Bachelor's degree

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