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Fiverr Pro
English
$
USD
I will integrate openai claude or bedrock into your existing backend
Iloomnex
About this gig
Most AI integration problems are backend problems. Streaming that breaks under load. Rate limits hit without a retry strategy. Costs that spiral because nobody built usage metering. Prompts scattered across the codebase with no versioning. Responses that fail validation and crash the downstream service. The LLM is the easy part. The engineering around it is where projects die.
I'm a senior backend engineer with 4+ years shipping production systems. I don't sell AI research or prompt-engineering workshops. I build the backend that connects your app to OpenAI, Anthropic Claude, or AWS Bedrock and treats the LLM like what it actually is, which is another API at the end of the pipe.
What that looks like in practice: streaming endpoints with proper backpressure, function calling and structured outputs with validation, prompt templates you can version and test, retry logic that handles provider-specific errors, semantic caching to cut costs, usage metering per user or tenant, and observability so you know what your AI is actually doing in production.
Node.js and TypeScript stack. Works with any existing backend in that ecosystem.
You get working code in your Git repo, tests, and docs
Get to know Iloomnex
Iloomnex
Senior backend engineer
- FromPakistan
- Member sinceNov 2023
- Avg. response time1 hour
- Last delivery1 year
Languages
English
Senior backend engineer, 4+ years shipping production systems. I build Node.js and NestJS backends on AWS serverless. Lambda, SQS, EventBridge, Step Functions. I handle the integrations most devs avoid: Amazon SP-API, Shopify, QuickBooks, Xero, and LLMs via Bedrock, OpenAI, and Claude.
Day job is a multi-tenant HRIS and payroll platform running real traffic. On Fiverr as iLoomNex, I take on backend builds, API integrations, and AI features that need to work in production, not just in a demo.
Always online. Reply in under an hour. Any timezone.
My Portfolio
FAQ
Do I need to already have a backend, or can you build one from scratch?
This gig is specifically for adding LLM features to an existing backend. If you don't have a backend yet, my production Node.js backend gig is the right starting point. We can build the backend there and add LLM features either in the same project or as a follow-on.
Which LLM provider should I use? OpenAI, Claude, or Bedrock?
Depends on your use case, budget, and compliance needs. OpenAI has the broadest model lineup and strongest function calling. Anthropic's Claude models are strong for long context, structured reasoning, and writing tasks. AWS Bedrock makes sense if you're already on AWS, need models in your VPC
Can you help with fine-tuning, training custom models, or RAG?
Fine-tuning via provider APIs is in scope as a custom offer. Training models from scratch is not. RAG pipelines have their own dedicated gig on my profile because the scope and stack are different enough to warrant it, message me or check my other gigs for that work
