.NET Developers with AI (AWS Bedrock)

Indotronix International Corporation
  • NY
  • $70–$90 Per Hour
10 days ago

Job Description

  • Current Openings
  • Veterans Program
  • Working With Indotronix
  • Referral Program

All current openings

.NET Developers with AI (AWS Bedrock)

  • Location: United States
  • Work model: On-site
  • Posted June 5, 2026
  • Job ID: JPC - 204810

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Job Description

Job Summary: .NET Developers with AI (AWS Bedrock)

About the Role

Join a rapidly growing team at the forefront of generative AI and enterprise software! As a .NET Developer with AI expertise, you'll drive innovation by building powerful applications and pioneering AI solutions using AWS Bedrock. This role offers hands-on opportunities to create cutting-edge chatbot and LLM-based features-all while collaborating with talented peers and business stakeholders in a dynamic, agile environment. You'll have the chance to shape best practices, set engineering standards, and work on both proof-of-concept and production-ready AI solutions, accelerating your career in the hottest domain in tech.

Responsibilities

  • Build and maintain robust .NET applications within AWS environments
  • Design, prototype, and iterate AI-driven features, including chatbots and agentic AI solutions using AWS Bedrock
  • Develop and integrate LLM-based objects, agents, and knowledge bases, ensuring seamless model invocation and orchestration
  • Architect and implement conversation flows, secure API integrations, and tool/function calling for chatbot experiences
  • Deliver production-quality code with automated testing, CI/CD pipelines, and maintainable architecture
  • Evaluate and select appropriate LLM models for performance, cost, security, and compliance
  • Set up and maintain LLMOps workflows: deployment, monitoring, prompt versioning, cost tracking, and incident response
  • Collaborate with cross-functional teams, translating business needs into realistic GenAI solutions
  • Establish patterns for prompt engineering, orchestration frameworks (e.g., LangChain, Semantic Kernel), and evaluation-driven development
  • Mentor peers through code reviews, design sessions, and documentation of GenAI engineering standards

Required Skills and Experience

  • 5+ years in software engineering, building and shipping production-grade applications
  • Strong development expertise in .NET (C#) and hands-on AWS experience, especially with Bedrock
  • Solid understanding of LLMs, chatbot frameworks, and agentic AI patterns
  • Comfortable with Python for AI/ML workflows alongside .NET
  • Strong grasp of API design, automated testing, CI/CD pipelines, and secure system integrations
  • Experience with RAG pipelines, embeddings, and vector databases (FAISS, Pinecone, OpenSearch)
  • Excellent communicator, able to explain technical concepts to a diverse audience
  • Bachelor's degree in CS, CIS, MIS, or a related field

Preferred Skills

  • Exposure to prompt engineering, orchestration frameworks, and evaluation frameworks
  • Experience supporting compliance initiatives (HIPAA, GDPR) in enterprise environments
  • Familiarity with incident response and advanced LLMOps practices

Benefits

  • Work on the latest AI technology and have direct impact on enterprise AI adoption
  • Accelerate your career with mentorship opportunities and exposure to pioneering GenAI practices
  • Competitive compensation and comprehensive benefits package
  • Collaborative, inclusive, and agile work environment
  • Flexible work arrangements and professional development resources

How to Apply

Ready to shape the future of AI in enterprise software? Submit your resume and a brief cover letter outlining your relevant experience and interest in GenAI and AWS Bedrock.

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Interested in this role?

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Job details

Job ID JPC - 204810

Location United States

Work Model On-site

Experience 8-10 years

Pay Rate $70 - $90 (Hourly)

Posted June 5, 2026

Skills c# .net AWS Bedrock

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Numbers & Facts

LocationNY
Salary$70–$90 Per Hour

Skills

  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Best Practicesunmatched
  • Code Reviewsunmatched
  • Communication Skillsunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Conversation Engineunmatched
  • Cross-Functionalunmatched
  • Documentationunmatched
  • Emerging Technologyunmatched
  • Enterprise Applicationsunmatched
  • HIPAA (Health Insurance Portability and Accountability Act)unmatched
  • Incident Responseunmatched
  • Kernel Programmingunmatched
  • Knowledge Baseunmatched
  • Management of Information Systems/Technology (MIS)unmatched
  • Mentoringunmatched
  • Microsoft .NETunmatched
  • Performance Modelingunmatched
  • Proof of Conceptunmatched
  • Prototypingunmatched
  • Python Programming/Scripting Languageunmatched
  • System Integration (SI)unmatched
  • Test Automationunmatched
  • Test Designunmatched

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