AI Engineer (LLMs + C#)

Job Description

JoinAperiaSolutions a leader in SaaS solutions for the Payments and Compliance a Texas-based fintech and managed consultancy firm that creates custom SaaS applications and other software-based solutions for the payments banking and processing industry. Founded in 1999Aperiaoffers business intelligence risk management compliance and customer intelligence platforms. With offices in Dallas Washington DC and VietnamAperiais a fast-paced global organization that strives to improve efficiency in compliance risk and customer service include banks processors payment facilitators merchant service providers independent sales organizations and government entities. A career atAperiapromises a great challenge culture and opportunities to forge your own path.

We are seeking an experiencedAI/LLM Software Engineerto join our growing development team and help design build and integrate intelligent solutions into modern enterprise applications.

The ideal candidate has hands-on experience working withGenerative AI Large Language Models (LLMs) AI-assisted software development and AI-powered applications. You will work closely with software engineers architects business stakeholders and product teams to identify opportunities where AI can improve productivity automation data intelligence and customer experiences.

This is a hands-on engineering role. Candidates should have a solid foundation in software development and APIs withsome practical experience in C#/.NET. Deep expertise React or Angular is not required. We are more interested in candidates who understand modern AI/LLM technologies and can apply them effectively within enterprise software environments.

Key Responsibilities:

• Design develop and integrate AI/LLM-powered capabilities into enterprise applications.

• Evaluate and integrate LLM platforms models APIs and AI services such as Azure OpenAI OpenAI or similar technologies.

• Develop solutions using techniques such as:

• Prompt engineering

• Retrieval-Augmented Generation (RAG)

• Embeddings and semantic search

• Vector databases

• Function/tool calling

• Structured outputs

• AI agents and agentic workflows

• Context management

• Build and consume RESTful APIs to integrate AI capabilities with existing enterprise applications.

• Develop proof-of-concepts and production-ready AI solutions while evaluating model quality accuracy performance cost and scalability.

• Leverage GitHub Copilot and other AI coding assistants to improve software development productivity while maintaining code quality and security.

• Develop appropriate approaches for AI evaluation testing monitoring and validation including identifying hallucinations and unreliable model responses.

• Work with business stakeholders to identify practical use cases for AI and translate business requirements into technical solutions.

• Integrate AI solutions with enterprise data sources databases APIs and existing applications.

• Participate in architecture and technical design discussions related to AI-enabled applications.

• Ensure AI solutions follow enterprise security privacy compliance andDevSecOpspractices.

• Research emerging AI/LLM technologies and recommend approaches that can provide business value.

• Troubleshoot complex technical issues involving applications APIs AI services data and infrastructure.

• Mentor team members and share knowledge related to AI/LLM technologies and best practices.

Required Skills and Experience

AI / LLM Primary Focus

• 2 years of software engineering experience with hands-on exposure to Generative AI and/or LLM technologies.

• Practical experience integrating LLMs or AI services into applications.

• Understanding of LLM concepts such as:

• Prompt engineering

• Tokens and context windows

• Embeddings

• Vector search

• RAG

• Fine-tuning concepts

• Function/tool calling

• AI agents

• Model evaluation

• Experience working with one or more LLM/AI platforms such as Azure OpenAI OpenAI Anthropic AWS Bedrock Google Vertex AI or similar.

• Experience developing AI-powered applications or prototypes using APIs SDKs or AI frameworks.

• Experience using GitHub Copilot ChatGPT Claude or other AI-assisted development tools.

• Ability to understand review debug and improve AI-generated code rather than simply relying on AI-generated output.

• Understandingresponsible AI including security privacy hallucination risks data protection andappropriate handlingof sensitive information.

Software Engineering

• 4 years of professional software development experience.

• Some hands-on experience with C#/.NET Core/.NET 6. expertise is not required.

• Strong understanding of software engineering fundamentals including:

• Object-Oriented Programming

• SOLID principles

• Design patterns

• Algorithms and data structures

• Clean and maintainable code

• Experience developing and consuming RESTful APIs.

• Experience working with relational databases such as SQL Server PostgreSQL or similar.

• Experience with Git and modern source-control workflows.

• Understanding of CI/CD and modern software development practices.

• Strong debugging troubleshooting and problem-solving skills.

• Experience working in Agile/Scrum environments.

Cloud / DevOps / Security

• Experience working with cloud-based applications preferably Azure AWS or Google Cloud.

• Understandingcloud-native application architecture and microservices.

• Familiarity with Docker and/or Kubernetes is a plus.

• Experience with CI/CD tools such as Azure DevOps GitHub Actions Jenkins or Harness.

• Understanding of secure software development andDevSecOpspractices.

• Familiarity with SAST/security tools such asFortifyor similar technologies is a plus.

• Experience with application monitoring and observability tools such as Splunk or Dynatrace is a plus.

Preferred Experience

• Experience building enterprise AI/LLM applications.

• Experience implementing RAG solutions using enterprise documents or databases.

• Experience with vector databases such as Pinecone Azure AI SearchWeaviate Milvuspgvector or similar.

• Experience with AI/LLM frameworks such asLangChain Semantic KernelLlamaIndex or similar.

• Experience with AI agents and tool/function calling.

• Experience developing AI evaluation and testing strategies.

• Experience integrating LLMs with enterprise APIs and business systems.

• Familiarity with Azure AI services and Azure OpenAI.

• Experience with financial services banking payments or other high-volume transactional systems.

• Experience with APIGEE or API management platforms.

• Experience with MongoDB Cassandra or other NoSQL technologies.

• Experience with React Angular TypeScript or other modern frontend technologies is a plus but not required.

Education or Certifications

• Bachelors degree in computer science Information Systems oranotherrelatedfield.

Eligibility Requirements

• Must be willing to submit to a background investigation and drug test as part of the selection process.

Job Type

• Full time

Schedule

• Monday to Friday

Work Location

• Alpharetta GA

• Omaha NE

• Frisco TX

Benefits

• Health insurance

• Health savings account

• Dental insurance

• Vision insurance

• 401(k) matching

• Life insurance

• Paid time off

• Parental leave

• Disability insurance

• Childcare assistance

• Education reimbursement

• Fitness membership

• Volunteer time off

This job description is not intended to be all-inclusive. An employee may also perform other reasonable related business duties as assigned by their immediate supervisor or management. Principals only.

Recruiters please dont contact this job poster. DO NOT contact us with unsolicited services or offers.