Generative AI Engineer - Azure, Python Required

@shadabkhan92

With 9+ years of hands-on experience in building AI systems that work, I believe I am the ideal Generative AI Engineer/Architect for your project. Fluent in Amazon Web Services, Azure, Django and armed with strong Python skills, I have everything needed to excel in this role. Moreover, you can trust me to translate business requirements into scalable GenAI architectures and take solutions from POC through production deployment. What sets me apart from other candidates is my inclination towards agentic AI. My expertise lies not just in designing robust predictive ML models but also implementing them where others may struggle - on edge devices, inside ERP workflows, reading live sensor data and acting on it in real-time. Harnessing Anthropic Claude models and other essential toolkits, I ensure AI is not just a prototype but a production infrastructure that effectively fits into existing workflows and makes informed real decisions.

@jinufeb14

With over 9 years of experience in the field, I am well-acquainted with your requirements for a Generative AI Engineer/Architect, particularly those related to Microsoft Azure and Python. My proficiency in these areas has allowed me to develop, evaluate, and deploy secure, enterprise-grade Generative AI applications and AI agents. Leveraging the power of Azure, I will design and implement GenAI solutions utilizing Azure AI Foundry/Microsoft Foundry and Anthropic Claude, ensuring that your business needs are seamlessly translated into scalable architectures. What sets me apart further is my familiarity with agentic workflows using Claude tool use/function calling. This experience will be instrumental in building intelligent assistants, copilots, enterprise knowledge-search applications, and autonomous/human-in-the-loop AI agents according to your specifications. Delving deeper into the technical aspect, I have hands-on understanding of RAG across various domains like Azure AI Search, embeddings, vector search and more.

@VirasatSolutions

Hi, I'm a full-stack developer & AI engineer with solid experience in PHP, Shopify, Python, AI architecture, CMS, and LMS development — so I can handle your entire project without outsourcing any part. What I offer: PHP: Laravel/WordPress apps, REST APIs, DB design Shopify: Custom themes (Liquid), apps, checkout/subscription integrations AI: RAG pipelines, LLM integrations (OpenAI/Claude), agentic workflows Python: Django/FastAPI backends, automation, AI/ML tooling CMS: WordPress, Drupal, headless CMS, custom plugins LMS: Moodle, LearnDash, SCORM/xAPI, course tracking Why me: clean production-ready code, clear communication, on-time delivery, and post-launch support included. Happy to hop on a call to understand your exact requirements and share relevant samples. Let's discuss and get started. Regards, Abhishek

@kumarashish99

Hi there! I'm Ashish, a seasoned AWS-certified professional with an emphasis on backend development and AI/ML integration. With my extensive skills in using Azure, Python, and other relevant technologies, I am uniquely equipped to excel in this Generative AI Engineer role focused on utilizing Azure AI Foundry, Microsoft Foundry, and Anthropic Claude models. Having honed my craft over a span of five years, I have not only built scalable cloud infrastructures but more importantly, integrated advanced AI/ML solutions like those required for this project. This has not only improved system efficiency but provided strategic insights leading businesses ahead of their competitors. I'm also well-versed in DevOps engineering and can skillfully design CI/CD pipelines and implement Infrastructure as Code (Terraform, CloudFormation), key areas that would enhance the LLMOps/GenAIOps practices you require. My proficiency in securing infrastructure to meet compliance with industry standards like HIPAA, PCI-DSS, GDPR will ensure confidentiality of your data during the building and implementation process which is a top priority in this field. Ready to delve deep into this project starting from translating business requirements into GenAI architecture to taking solutions through POC to production deployment.I can't wait to bring my expertise to your team along with my approachable demeanor. Let's ace this together!

@vishal1145

Your architecture will fail if you're using Claude without implementing proper token-window management and fallback logic for rate-limited enterprise endpoints. Most teams underestimate how quickly production traffic exhausts Azure AI Foundry quotas. Quick questions - are you planning multi-region failover for Claude API calls? And what's your strategy for handling context-window overflow in RAG pipelines when documents exceed 200K tokens? Here is the architectural approach: - AZURE AI FOUNDRY: Build enterprise RAG pipeline with Azure AI Search vector indexing, semantic reranking, and Claude 3.5 Sonnet integration using managed endpoints with automatic quota scaling. - AGENTIC WORKFLOWS: Implement multi-step tool-calling orchestration using Claude function calling with retry logic, state persistence in CosmosDB, and human-in-the-loop approval gates for high-risk actions. - LLMOPS PIPELINE: Deploy FastAPI services via Azure Container Apps with automated prompt versioning, A/B testing framework for system prompts, and real-time monitoring dashboards tracking hallucination rates and token costs. I've built similar GenAI platforms for 2 enterprise clients that process 500K+ Claude API calls monthly without downtime. Let's schedule a 20-minute architecture review to align on your RAG strategy and failover design before implementation starts.

@Appworldz

Hi, this is right in my wheelhouse. I’ve built enterprise GenAI solutions across Azure AI Foundry, Claude, RAG/Azure AI Search, agentic workflows, tool calling, FastAPI and LLMOps—not just demos, but production-ready systems with guardrails and evaluation. I can take this from architecture → POC → secure production, including model evaluation, prompt/version management, monitoring and cost controls. For 9+ years of senior-level ownership, I’d suggest ₹2,500–₹3,500/hr rather than ₹750–1,250, with 4–6 weeks for an initial production-grade implementation. If you want someone who can challenge the architecture, not just code tickets, let’s talk.

@UzeeTech

Hello, I can design and take your GenAI solutions from POC to secure production across Azure AI Foundry/Microsoft Foundry and Anthropic Claude. I can help with: • RAG using Azure AI Search, embeddings, vector search and reranking • Agentic workflows, Claude tool/function calling, structured outputs and reusable prompt chains • Python/FastAPI services, REST APIs, Azure Functions/Container Apps and enterprise integrations • Evaluation for groundedness, relevance, hallucination, safety and tool-call accuracy • Guardrails, prompt-injection protection, privacy controls, token/latency monitoring, CI/CD and rollback I have 9 years’ full-stack experience with React.js, Node.js, Python, Flutter and AI/ML, with a strong focus here on Python, cloud architecture and responsible AI delivery. I can provide architecture documents, implementation plans and technical reviews. Which Azure tenant/model setup and data sources should the first production-ready assistant target?

@jayantkumar314

As a seasoned Software Engineer, I've specialized in numerous domains that would prove invaluable for your Generative AI projects. My skillset spans across Amazon Web Services and Python, making me proficient in building and maintaining diverse systems in distributed environments like the one you're offering. Although my focus has largely been on web development, the underlying principles of designing, developing, and deploying secure, scalable applications remain consistent across domains. Furthermore, in addition to possessing the technical skills required for this project, I thoroughly enjoy working collaboratively across teams. I believe effective communication is integral to delivering successful projects and thus, through regular updates and progress reports aligned with your product teams' targets, I will ensure that your business requirements are not only met but exceeded. With a track record that boasts the creation of comprehensive solution architecture documents, technical designs and implementation plans, you can trust that your vision for scalable GenAI architectures will be brought to life incorporating all aspects traversed in our dialogue so far.

@TechWagger2026

With a solid 9+ years of experience and a focused skill set in AI Chatbot Development, AI Model Development, Amazon Web Services, Django, and of course Python, I believe I'm the ideal candidate for your Generative AI Engineer/Architect role. Having a strong practical knowledge base in Microsoft Azure AI services, Azure AI Foundry (Microsoft Foundry), and Anthropic Claude models, I understand not only how to design and develop enterprise-grade Generative AI applications and agents but also how to integrate them effectively with existing enterprise systems, APIs, databases, and platforms. Additionally, being well-versed with responsible AI practices brings data privacy controls and important content filtering abilities which are crucial for ensuring model quality. My team and I offer not just professional services but also collaborative partnership as we understand the importance of your team's input in taking solutions from POC through production deployment. With our service-oriented approach tweaked to offer long-term growth solutions, TechWagger is poised to enable your GenAI ideas to flourish on Azure!

@gauravl3

I can help design and build the enterprise GenAI solutions described in your requirement, from POC through secure production deployment. I have 12+ years of experience building web, backend, cloud, and data-driven systems, with strong experience in Python/Node.js, REST APIs, AWS/Azure, Docker, CI/CD, databases, and scalable service architecture. For GenAI solutions, I can work across RAG pipelines, embeddings/vector search, prompt engineering, structured outputs, tool/function calling, AI agents, and enterprise API integrations. For this role, I would focus on: • RAG with Azure AI Search, embeddings, chunking, metadata and reranking • Agentic workflows with tool calling and human-in-the-loop execution • Claude/API integration through a clean model abstraction layer • FastAPI/Azure Functions/Container Apps for AI backend services • Guardrails, prompt-injection protection, access control and data privacy • Evaluation for groundedness, relevance, hallucination, latency and tool accuracy • LLMOps including prompt/version management, monitoring, CI/CD and cost/token tracking I can also contribute to architecture decisions, technical documentation, code reviews and reusable GenAI components for your development team. I’m available remotely from India and can start with an architecture/POC phase before moving into production implementation.

@Shonali1406

Hello, I bring 15 years of experience in software architecture, AI development, Python, cloud technologies, and enterprise application development. I can help design and implement production-ready Generative AI solutions using Azure AI Foundry, Anthropic Claude, RAG, vector search, prompt engineering, agentic workflows, tool/function calling, and AI APIs. My deliverables will include scalable GenAI architecture, RAG pipelines, AI agents, backend APIs, model evaluation, guardrails, monitoring, LLMOps practices, and technical documentation. I can work closely with product, security, and engineering teams to take solutions from POC through production. Let’s connect and discuss.

@akkiwadhwa1995

This is right in my wheelhouse — I build production GenAI with Anthropic Claude: RAG pipelines, prompt engineering, and agentic workflows with tool/function calling. I've taken these from POC to production with proper evals and guardrails (grounding, retries, cost/latency budgets) so they behave predictably at scale. Comfortable on Azure AI Foundry and Python, and I keep responsible-AI basics in — PII handling and eval harnesses. What's the first use case you want to take from POC to production?

@FreeLancers360

Hello, I just finished reading your brief for "Generative AI Engineer - Azure, Python Required", and I'm genuinely excited about the chance to work on it. My goal isn’t simply to finish the task, but to give you real, lasting value for every bit you invest in it. From your brief I can see this involves ai, llm, chatbot — all areas we handle in-house. We specialise in Python, Django, Software Architecture, Azure, which lines up directly with what you need. How we'd approach it: - Clarify the use-case, inputs and the exact output you expect - Build and integrate the model / automation pipeline - Evaluate accuracy and tune against real examples - Deploy with monitoring and a clear handover Happy to work hourly with transparent time tracking and regular check-ins. You can count on tight communication, on-time delivery, and a result that’s effortless to sign off on. Send over any references you have and I’ll come back with a clear plan and milestones. Best regards, FreeLancers360 Let’s connect in chat and get started — message me anytime and I’ll reply right away!

@gagansahay695

Hi, I'd be glad to help design, develop, evaluate, and deploy secure, enterprise-grade Generative AI applications and AI agents using Azure AI services, Azure AI Foundry, and Anthropic Claude models. To achieve this, I will utilize my expertise in Python, Django, and Azure to develop intelligent assistants, copilots, knowledge-search applications, and autonomous/human-in-the-loop AI agents. I will also design and implement RAG solutions using Azure AI Search, embeddings, vector search, reranking, and enterprise data sources. Additionally, I will develop agentic workflows using Claude tool use/function calling and integrate Claude models through supported APIs, SDKs, and enterprise model endpoints. My approach will include evaluating and recommending models based on accuracy, reasoning, latency, context-window requirements, security, and cost, as well as implementing AI guardrails, content filtering, prompt-injection protection, data privacy controls, and responsible AI practices. Best regards, Gagan

@abhipatel8675

Hi, I’m available to start immediately and can contribute hands-on across Azure AI Foundry, Anthropic Claude, RAG, agentic workflows, prompt engineering, AI evaluation, and production GenAI architecture. To get started, please share the current architecture/design documents, business requirements/use cases, Azure AI Foundry setup, Claude/API access details, existing code/repository, data sources for RAG, and deployment/CI-CD environment. If there is already a POC, I can review the existing implementation first and define the technical roadmap toward a secure, production-ready solution. I’m ready to begin right away and can align with your team’s priorities and milestones. -Abhi

@MinaMaroufIt

I build custom software solutions for startups, growing businesses, and modern companies that need reliable, scalable, and results-driven technology. With 7+ years of experience, I help clients create and improve digital products across AI, SaaS, web, mobile, eCommerce, automation, and backend systems. I support projects from planning and architecture to development, testing, deployment, and ongoing improvement. I help clients launch faster, automate workflows, and build dependable products that scale. I believe strong products come from clear communication, practical engineering, and consistent execution. My goal is to deliver solutions that are not only functional but dependable, maintainable, and ready for real business growth.

@vinod150987

Hi, I have hands-on AI/Generative AI development experience, including building AI-powered assistants, knowledge-search applications, RAG pipelines, intelligent agents, and backend AI services. I’m comfortable taking GenAI solutions from POC through production, with a strong focus on reliability, security, evaluation, and maintainability. I can also produce solution architecture documents, technical designs, implementation plans, API specifications, evaluation strategies, and reusable GenAI components, while collaborating with data, security, cloud, and product teams. My focus is on building GenAI systems that are not only impressive in a POC but are secure, observable, testable, scalable, and production-ready. I would be happy to review your current requirements and propose an architecture and implementation approach for the Azure AI Foundry + Claude environment. Best regards

@Cruz1217

Hi, I see the need for a Generative AI Engineer who can design and develop secure enterprise-grade Generative AI applications using Azure AI services. My approach is to start by evaluating the business requirements and translating them into scalable GenAI architectures. I'd focus on building intelligent assistants and autonomous AI agents using Claude APIs and Azure AI Foundry. In my experience, a common mistake is not properly implementing AI guardrails and content filtering, which can lead to security issues. I'll set up a model evaluation framework to ensure the accuracy and safety of the GenAI applications. The client can expect a well-designed and implemented GenAI solution that meets their business requirements and is secure and scalable.

@Visharaa2024

Hi, I can build enterprise-grade GenAI solutions with Azure AI Foundry, Python, RAG, Azure AI Search, tool calling and agentic workflows. I can take the solution from POC to production with secure APIs, guardrails, evaluation, monitoring and LLMOps. A few quick questions: Is Azure AI Foundry and Claude already selected? What is the first use case: RAG, copilot or AI agent? Which enterprise data sources and APIs need integration? Is Azure AI Search/infrastructure already available? What scale and security requirements should we target? Once confirmed, I can share the architecture, timeline and implementation plan. Best Regards, VDinfotech