Senior C# Engineer - Generative AI Solutions

@Microlent

Hello, I can lead the design and production hardening of your C# generative AI services, building scalable LLM integration layers that are secure, observable, and resilient from prototype through enterprise deployment. Here’s how I’d approach it: • Architect modular .NET services with clean separation between orchestration, prompt layers, and provider adapters • Build robust LLM integration wrappers with retries, circuit breakers, structured logging, and fallback models • Implement versioned prompt libraries with regression testing and performance benchmarking • Design AI security controls including prompt injection detection, PII masking, output validation, and compliance logging • Develop agent frameworks with tool usage control, context management, and human escalation triggers • Create abstraction APIs that simplify AI consumption while preserving configuration flexibility • Establish AI-focused testing strategy including prompt regression, deterministic evals, and output scoring I specialize in building real-world AI systems that balance innovation with reliability, security, and maintainability. If you can share your current model stack and deployment environment, I can outline a concrete architecture and rollout plan immediately. Best regards, Jenifer

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@vishal1145

Your agent architecture will fail in production if you're not handling LLM timeouts and token limit overruns. Most teams build the happy path but don't account for when GPT-4 takes 45 seconds to respond or returns malformed JSON that breaks downstream services. Before architecting the solution, I need clarity on two things: What's your current approach to prompt versioning when you need to A/B test different instruction sets without redeploying code? And are you handling PII detection at the API gateway level or inside each service boundary? Here's the architectural approach: - C# + AZURE OPENAI SDK: Build a resilient LLM client with circuit breakers, exponential backoff, and fallback models (GPT-4 -> GPT-3.5) to maintain 99.5% uptime during API degradation. - PROMPT ENGINEERING FRAMEWORK: Implement a database-backed prompt library with semantic versioning, automated regression testing against golden datasets, and performance metrics (latency, token usage, output quality scores). - AI SECURITY LAYER: Deploy a middleware pipeline with Presidio for PII detection, custom regex filters for prompt injection patterns, and audit logging that captures every input/output pair for compliance reviews. - AGENT ORCHESTRATION: Design a state machine architecture using Semantic Kernel that tracks conversation context, validates tool execution results, and escalates to human review when confidence scores drop below 0.7. - API DESIGN: Expose streaming endpoints with Server-Sent Events for real-time token delivery, plus synchronous endpoints with configurable timeout policies for batch processing scenarios. I've built three production LLM systems for enterprise clients where uptime and compliance weren't optional. Let's schedule a 20-minute technical call to discuss your error handling strategy and deployment pipeline before we commit to an implementation plan.

@mandavcon

As a seasoned C# engineer and passionate tech advocate, I would be the perfect fit for your project. With 10 years of hands-on experience behind me, I've gained proficient knowledge and skills in API Development and C# Programming that are vital to building and implementing robust generative AI solutions. One of my core strengths is my ability to solve complex problems - a skill honed over the years through my varied projects. Your project's focus on building LLM integration layers with error handling, fallbacks, and observability suits my forte perfectly. My track record also points to great success in maintaining quality through comprehensive testing such as unit tests, integration tests which will strongly contribute to this project. Mentorship and teamwork occupy high importance for me, evident in the way I actively share my knowledge with juniors. The scope of your project also involves mentorship which excites me. I am driven by challenges and have a thirst for learning, qualities that will help me adapt easily to your evolving needs. Hiring me translates to hiring an adaptable expert who will stop at nothing to deliver impeccable work

@mkh559a5a1fd66e9

Recently Created An AI Gent using .net ,Blazor. By setting up RAG Pipeline, It facilitates Adding knowledge base at runtime, uses vector db. Cuurently it has chat interface. And have placeholders to add tools like API, Cleender, mail, messaging etc. With over 14 years of experience as a Full Stack developer proficient in C#, I have the expertise and knowledge to own the design and implementation of C# services for your generative AI products. Not only can I build robust integration layers, but I can also create efficient and protected prompts libraries with thorough testing metrics driving output quality. In your project, maintaining quality through comprehensive testing plays a vital role to ensure seamless execution. From my experience, I understand how important this is and know how to implement extensive unit tests, integration tests as well as AI-specific evaluations such as prompt regression testing and output quality metrics.

@rahulb058

Hello, I’m very interested in the Senior C# Engineer role focused on Generative AI systems. The responsibilities outlined align directly with my experience building production-grade AI services in .NET environments — from early prototypes to hardened, observable, scalable systems.

@geethasekar1995

I am a senior developer of ASP.NET Core MVC & CMS & ASP.NET & Java with over 8 years of experience in software development. I am an expert on windows and web development using C#, VB.NET, VB6, ASP.NET, Entity Framework, Spring Boot. I work with ASP.NET, Core, MVC, Web API, WebServices, WCFServices, Webform, SQL Server, MongoDB, MySQL, Crystal Report, RDLC, SSIS, SSRS, HTML, CSS, Javascript, TypeScript, Jquery, AJAX, Angular, TFS, SVN, Github, GitLab, Azure, Plesk, Angular, Angular2, Javascript, HTML, CSS, JQUERY.

@webmasters486

As a highly skilled C# engineer well-versed in generative AI solutions, I am confident that I can bring immense value to your project. My experience and expertise extend beyond just creating prototypes and delving into full production, but rather ensuring these services are robustly integrated with reliable LLM layers, error handling mechanisms, and observability features for an optimal user experience. With diligent attention to detail, I am well equipped to develop AI security controls such as prompt injection detection, PII masking, output filtering and compliance logging that align with the security requirements of sensitive AI projects. Additionally, my proficiency in creating and managing comprehensive testing processes including unit tests, integration test, as well as AI-specific evaluations allows me to deliver a solution that is thoroughly tested and quality assured. Another angle I bring to the table is the ability to stay abreast with emerging technologies. In addition to my extensive knowledge of C#, I consistently adapt to keep up with the rapidly evolving.NET+AI landscape. This promises that not only will I build a state-of-the-art generative AI solution using the latest tools but also ensure that your solution evolves overtime. My passion for what I do coupled with a commitment to consistently iterate, learn, and improve make me a formidable candidate for this project.

@mubeenm5026

As a seasoned Senior C# Engineer at Web Crest, I wholeheartedly believe that I possess the potential, skills, and experience that align perfectly with your project requirements. Over my decade-long journey in the tech world, I have performed extensive work in various domains from AI & Automation to Web & Software Development, making me well-aware of evolving techniques and practices. AI Development is one of my core strengths which can be seen through my expertise in implementing C# services integrated with AI models, building robust integrations layers and creating prompt libraries. Moreover, my thorough understanding of API development will allow me to design efficient and user-friendly APIs that abstract AI complexity while ensuring consumer control. I'm also well-versed in comprehensive testing methodologies like unit tests, integration tests, and AI-specific evaluations which are absolutely crucial for maintaining the quality of your solution. What truly sets me apart from my peers is not just the skillset but also an unwavering commitment to not just ship the features but iterate and learn from each step. The ability to pivot quickly has allowed me to stay relevant amidst the rapidly evolving tech landscapes - be it .NET+AI or any other domain. And lastly, let's acknowledge that the real value is not mere bug-free code rather scalable impactful solutions - a vision I share with you completely. Let's build something transformative together!

@jovand30

Hi there. I have strong experience designing and delivering production-grade C# services for AI-powered systems, including LLM integration layers, resilient API design, and secure, observable AI workflows. My approach focuses on building robust abstraction layers around LLM providers with proper retry logic, fallback routing, timeout handling, and full observability using structured logging and metrics. I also implement prompt versioning, regression testing, and performance benchmarking to ensure consistent output quality as models evolve. On the security side, I can implement prompt injection detection, PII masking, output validation, and compliance logging to ensure safe and auditable AI usage. I’ve also built agent-style architectures in .NET that maintain context, use external tools reliably, and support escalation paths when confidence thresholds are not met. I follow clean architecture principles, comprehensive unit and integration testing, and production-ready deployment patterns using containers and CI/CD. I stay current with the .NET + AI ecosystem and can contribute both implementation and architectural guidance. I’m ready to take ownership of AI service design and help deliver reliable, secure, and scalable generative AI features from prototype through production. Best Regards

@ramantoor5

Hello, I will begin by taking ownership of the design and implementation of C# services for your generative AI products, ensuring a smooth transition from prototype to production. I will focus on building robust LLM integration layers with proper error handling, retry logic, fallbacks, and observability. Additionally, I will implement prompt libraries with versioning, testing, and performance benchmarking, as well as develop AI security controls to ensure prompt injection detection, PII masking, output filtering, and compliance logging. For the milestones, I propose starting with a small initial milestone where I deliver a partial version of the work. If you are satisfied with the progress, we can then proceed with funding the remaining scope. Best regards,

@jagratip3

Hello, Your role aligns perfectly with the kind of AI-first engineering work I focus on: building production-grade C# services that make generative AI reliable, observable, and secure—not just impressive in demos. I’ve designed and shipped .NET services integrating LLM providers with structured retry logic, circuit breakers, streaming responses, and telemetry (OpenTelemetry + centralized logging). My approach treats AI as a distributed system dependency: versioned prompt libraries, regression testing suites, latency benchmarking, and deterministic evaluation harnesses to prevent silent quality drift. I’ve implemented security layers including prompt injection detection heuristics, PII masking pipelines, structured output validation, and compliance-grade audit logging. For agent systems, I build tool-driven architectures with clear orchestration boundaries, context window management, and escalation rules when confidence thresholds drop. From an API standpoint, I design abstraction layers that hide model volatility while exposing configurable controls (temperature, routing, fallback chains) so product teams retain flexibility without inheriting complexity. Beyond implementation, I mentor teams on modern C# patterns, async performance tuning, and pragmatic AI engineering standards. I build systems that ship, evolve, and stay stable even when the models change underneath them.

@Jafferi12

Building LLM integration layers in C# usually falls apart the second a prompt injection hits or the API rate limits break your retry logic. I specialize in exactly this intersection of secure backend architecture and generative AI. I design bulletproof C# APIs that handle the AI complexity, including context windows, PII masking, and fallback routing, without slowing down your production environment. To show you exactly how I work, I will map out your core agent architecture and AI security controls in a simple Word document before we even start. I handle the entire pipeline from backend services to prompt versioning, so you absolutely won't need to hire another engineer to clean up the codebase later. Send me the details of the AI models you are currently using in the chat, and let's get this integration moving today.

@Hemantt841

I understand you require a Senior C# Engineer to design and implement robust services that power generative AI products, including building LLM integration layers with error handling and developing AI security controls like prompt injection detection and PII masking. You also need someone who can maintain prompt libraries with versioning and testing, and collaborate closely on model selection and deployment. With over 15 years of experience and more than 200 completed projects, I specialize in AI & Automation, including working extensively with OpenAI and large language models, as well as API integration. My background in developing scalable, secure backend services aligns well with your need for production-ready C# solutions and comprehensive testing strategies. For your project, I will focus on creating resilient C# APIs that abstract AI complexity while ensuring observability and compliance through logging and output filtering. I’ll implement agent architectures that maintain context and escalate appropriately, delivering an initial prototype within 4-6 weeks and iterating based on feedback to meet evolving requirements. Let’s discuss how I can help bring your generative AI solutions to production efficiently and securely.

@Robertx2002

Many AI projects stumble not from tech limits but fragile error handling and unclear escalation paths. Your goal to build reliable, secure generative AI services that scale while maintaining control demands a clear, adaptable design. I’d start by creating modular C# services with layered error handling and observability, paired with rigorous prompt testing and security features. How do you currently prioritize handling ambiguous AI outputs versus escalating to human oversight? As a fresh yet focused expert, I’m ready to overdeliver quickly at a competitive rate to earn your trust. Shall we discuss how improved fallback strategies can boost your AI product’s reliability?

@abdullah1826

Hi, Senior C# Engineer - Generative AI Solutions "", We provide complete frontend to backend development with clean, scalable, and high-performance solutions tailored to your requirements. Our experienced team ensures modern UI/UX, secure architecture, smooth functionality, and full support until successful deployment. Let’s build a reliable and impactful product together. Regards, Muhammad Abdullah

@SahilRao1247

As an AI Creative Professional experienced in cutting-edge AI tools and technologies, I bring a unique skill set to this C# engineer role. My deep familiarity with various AI platforms like Runway ML, Pika Labs, and Canva AI will allow me to not only understand your generative AI requirements but also innovate and design powerful solutions using C#. From video editing and animations to image generation and smart graphic design, I combine advanced AI capabilities with modern C# practices for comprehensive, value-adding integrations. In summary, choosing me would mean welcoming an AI professional who is not only skilled in the advanced technological aspects of the task but also cognizant of the brand-focused creative direction your business needs. Let my proficiency in delivering timely, quality-focused results through clear communication amplify the impact of your generative AI products - from prototype to production. Let's harness the power of C# to create robust LLM integration layers, implement prompt libraries with precision, develop superior AI security controls, design APIs simplifying complex AI aspects without sacrificing control — all while staying aware of the latest trends.

@marcioazambujo

Hi, there. I am interested your project. Because your project is my major, I believe I am a right person for your project. I have strong experience in C# development and have built production-grade services integrating LLMs and generative AI models. My approach includes creating robust API layers, implementing prompt libraries with versioning and testing, and adding security controls like prompt injection detection and PII masking. I am proficient in designing agent architectures that maintain context, handle retries/fallbacks, and escalate when needed, ensuring reliability for production workloads. I also focus on observability, AI-specific testing, and performance benchmarking to maintain high-quality and compliant AI services. I can contribute to architecture decisions, mentor team members, and stay current with the .NET + AI ecosystem to bring best practices into your stack. I hope to hear from you. Thank you.

@johncyruss

As a seasoned senior C# engineer with a strong focus on AI development, I'm confident in my ability to not only meet but exceed expectations for this project. My experience includes end-to-end design and implementation of C# services, constructing robust LLM integration layers, and creating agent architectures that effectively utilize AI tools while maintaining context. Further, I am well-versed in developing AI security controls for tasks such as prompt injection detection and PII masking. Additionally, my background in API development and my expertise in .NET + AI make me uniquely qualified to design APIs that both abstract AI complexity and give consumers the control they need to successfully utilize our generative AI products. I also have deep knowledge of maintaining overall quality through comprehensive testing and can bring value by implementing thorough unit tests, integration tests, and AI-specific evaluations. Beyond my technical abilities, what makes me stand out is my commitment to continual learning. This is particularly crucial in the rapidly evolving landscape of .NET + AI where new developments can frequently reshape today's feature into tomorrow's pivot point. By choosing me for this project, you are guaranteed a reliable Partner who delivers on time and brings forth fresh insights even as we iterate and learn together.