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I will build custom llm prompt systems and ai workflows for your dev team
Dinesh P
About this gig
Is your dev team struggling to get reliable, consistent results from Azure OpenAI, AWS Bedrock, or other LLMs? As a Senior AI Architect with 18+ years of enterprise experience, I design production-ready prompt engineering systems and AI workflows that your team can actually use.
What you get:
Tested prompt libraries tailored to your specific use case
AI workflow diagrams your dev team can implement immediately
Integration guides for Azure OpenAI, AWS Bedrock, or custom LLMs
Prompt versioning and governance framework
Team training deck and adoption playbook (Premium)
60-minute live walkthrough call (Premium)
Who this is for:
Dev teams integrating LLMs into enterprise products
Engineering leads building internal AI tools
CTOs standardising AI usage across their organisation
Teams switching from ad-hoc prompting to structured AI workflows
All prompts are tested against your actual use case, not generic templates. Every workflow is designed for real-world implementation, not just theory.
Ready to turn your AI experiments into reliable, scalable systems? Order now.
Get to know Dinesh P
Dinesh P
Enterprise AI Architect Azure AWS and NET Expert
- FromIndia
- Member sinceNov 2024
Languages
English, Hindi
I'm Dinesh, Azure Solutions Architect Expert and founder of Future Tech AI agency. 18+ years building enterprise platforms on .NET, Azure, and AWS, serving 2M+ users.
I deliver structured architecture documents: AI integration blueprints, cloud modernization plans, and prompt engineering strategies that CTOs and engineers can present, fund, and execute.
Certifications: Azure Solutions Architect Expert, AWS Cloud Practitioner, Azure OpenAI, Prompt Engineering.
Same quality as agency engagements, packaged for fast turnaround. Message me your stack and goal. I respond within 1 hour.
FAQ
What information do you need to build the prompt library?
I need your LLM platform (Azure OpenAI, Bedrock, etc.), target use case (e.g. customer support, code generation), sample inputs/outputs if available, and any guardrails or tone requirements. A short onboarding form is sent after ordering.
Will the prompts work with any LLM or only Azure OpenAI?
Primarily designed for Azure OpenAI and AWS Bedrock, but the prompt engineering principles apply to any LLM including GPT-4, Claude, Gemini, or open-source models. Just let me know your stack when ordering.
What does the deliverable look like?
You receive a structured PDF/Notion document with categorised prompts, usage instructions, a workflow diagram (Standard/Premium), and an integration guide. Premium includes a PowerPoint training deck and a 60-minute live walkthrough call.
