AI Engineer (LLMs + C#)

Aperiasolutions; Alpharetta (GA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

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

Job summary

AperiaSolutions in Alpharetta, GA, is seeking an AI/LLM Software Engineer to design, develop, and integrate AI capabilities into enterprise applications. You will work with Azure OpenAI/OpenAI and other platforms, focusing on production-ready solutions while ensuring security and compliance.

The role emphasizes hands-on engineering, integration of LLMs, and collaboration with product teams to translate business requirements into scalable AI-enabled software.

Qualifications

• Hands-on experience with Generative AI and/or LLM technologies in software
• Experience integrating LLMs or AI services into applications
• Knowledge of prompt engineering, context windows, embeddings, and vector search
• Familiarity with RAG, tool/calling functions, and AI agents
• Ability to review and improve AI-generated code, ensure security and privacy

Responsibilities

• Design, develop, and integrate AI/LLM-powered capabilities in enterprise apps
• Evaluate and integrate LLM platforms and AI services
• Develop solutions using prompt engineering, embeddings, vector search, and RAG
• Build and consume RESTful APIs to connect AI capabilities
• Mentor team members and review AI/LLM best practices

Skills

Generative AI

LLM integration

Prompt engineering

Embeddings

Vector search

RAG

Function calling

AI agents

Model evaluation

LLM platforms

Education

Bachelor's degree in computer science

Tools

C#/.NET

RESTful APIs

SQL Server

PostgreSQL

Git

CI/CD

Docker

Kubernetes

Cloud platforms (Azure/AWS/GCP)

Job description

Job Description

JoinAperiaSolutions, a leader in SaaS solutions for the Payments and Compliance industries.Aperiais 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 1999,Aperiaoffers business intelligence, risk management, compliance, and customer intelligence platforms. With offices in Dallas, Washington DC, and Vietnam,Aperiais a fast-paced, global organization that strives to improve efficiency in compliance, risk, and customer service operations.Aperia’sclients 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 experienced AI/LLM Software Engineer to 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 with Generative 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, with some practical experience in C#/.NET. Deep expertise in .NET, 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, and DevSecOps practices.

• 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 or .NET Core/.NET 6+. Deep .NET 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 and DevSecOps practices.

• Familiarity with SAST/security tools such as Fortifyor 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 Search, Weaviate, Milvus, pgvector, or similar.

• Experience with AI/LLM frameworks such as LangChain, Semantic Kernel, LlamaIndex, 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

• Bachelor's 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.