Dotnet Developer AI

++We are++

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20 years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000 , and has 58 offices in 22 countries within key global markets.

e are seeking a highly skilled F
ull Stack .NET Developer with AI/Generative AI expertise
to build next-generation intelligent applications for enterprise and financial services clients. The ideal candidate will possess strong experience in modern .NET development, front-end frameworks, cloud-native architectures, and AI technologies including Azure OpenAI, LLMs, RAG, and AI-powered application development.

This role offers the opportunity to design and deliver innovative solutions that combine traditional software engineering with cutting-edge Generative AI capabilities.

A

he base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within C
harlotte, NC is $
110K – $115K/year & benefits
(see below).T

• esign, develop, and maintain scalable full-stack applications using C#, .NET Core/.NET 8, ASP.NET MVC, Web API, Angular, and React.D
• evelop AI-powered enterprise applications leveraging A
  zure OpenAI, OpenAI APIs, and Large Language Models (LLMs).B
• uild and integrate R
  etrieval-Augmented Generation (RAG)solutions using vector databases and enterprise knowledge repositories.
  
  D
• esign and implement RESTful APIs, microservices, and event-driven architectures to support AI-enabled applications.
  
  C
• ollaborate with business stakeholders, architects, and product owners to translate business requirements into AI-driven technical solutions.
  
  D
• evelop intelligent chatbots, virtual assistants, document processing, and workflow automation solutions.
  
  I
• ntegrate AI services with enterprise platforms and business applications while ensuring security and compliance.
  
  I
• mplement prompt engineering, model evaluation, guardrails, and responsible AI practices.
  
  B
• uild responsive and intuitive user interfaces using Angular, React, Type Script, HTML5, CSS3, and modern UI frameworks.
  
  O
• ptimize application performance, scalability, observability, and reliability across cloud environments.
  
  P
• artner with Dev Ops teams to establish CI/CD pipelines, automated testing, and deployment strategies.
  
  S
• stay updated with emerging AI technologies, frameworks, and industry best practices to drive innovation across projects.
  
  R

• years
  of experience in Full Stack .NET application development.
  
  S
• trong expertise in C#, .NET Core/.NET 8, ASP.NET MVC, ASP.NET Web API, Entity Framework, and Microservices architecture.
  
  H
• hands-on experience with A
  ngular (preferred) or React, JavaScript, Type Script, HTML5, and CSS
  3.E
• xperience integrating and consuming G
  enerative AI services, including Azure OpenAI, OpenAI, Claude, or similar LLM platforms.
  
  S
• trong understanding of P
  rompt Engineering, RAG, Vector Databases, Semantic Search, and AI application patterns.
  
  E
• xperience with AI orchestration frameworks such as L
  ang Chain, Lang Graph, Semantic Kernel, or Llama Index.P
• roficiency in SQL Server, database design, query optimization, and data modeling.
  
  H
• hands-on experience with cloud platforms, preferably M
  icrosoft Azure, including Azure AI Services and Azure OpenAI.E
• xperience building and deploying containerized applications using D
  ocker and Kubernetes.S
• trong knowledge of CI/CD tools such as Azure Dev Ops, Git Hub Actions, or Jenkins.
  
  U
• nderstanding of AI governance, security, observability, and responsible AI principles.
  
  F
• amiliarity with Agile methodologies and modern software engineering practices.
  
  E
• xcellent communication, analytical, and problem-solving skills.
  
  P

• xperience within B
  anking, Financial Services, Capital Markets, or Insurance
  domains.
  
  E
• xperience building AI Agents and Agentic AI workflows
  for enterprise use cases.
  
  F
• amiliarity with vector databases such as P
  inecone, Weaviate, ChromaDB, or Azure AI Search.E
• xperience with AI monitoring, tracing, and observability tools.
  
  M
• icrosoft Azure Certifications, Azure AI Engineer, or related cloud certifications.
  
  E
• xperience working with multi-modal AI solutions and enterprise-scale AI deployments.
  
  E
• xposure to MLOps, model lifecycle…