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I will integrate custom ai llm agents into your saas application
Shaheer
About this gig
Are you a SaaS founder, CTO, or tech lead looking to integrate production-grade AI agents without introducing latency, security risks, or technical debt?
I am a Senior Full-Stack Engineer with 6+ years of production experience building high-scale distributed systems, microservices, and enterprise web applications (Node.js/NestJS, Ruby on Rails, React/Next.js).
Unlike no-code wrapper builders, I engineer secure, high-throughput, and scalable LLM ecosystems directly into your existing architecture.
WHAT I BRING TO YOUR SAAS:
Custom AI Agents: Autonomous workflow agents, RAG pipelines, intelligent copilot tools.
Vector Databases & Semantic Search: Pinecone, pgvector, Weaviate, or Qdrant for rich context retrieval.
Enterprise Security & Guardrails: PII redaction, token rate-limiting, prompt injection defences.
Ultra-Fast Caching: Redis caching layers to cut LLM latency and reduce API token costs by up to 60%.
Robust Architecture: Dockerized microservices, AWS deployment, clean REST/GraphQL APIs.
90%+ TDD Coverage: Bulletproof unit and integration test suites (Jest, RSpec, Supertest).
TECHNOLOGIES SUPPORTED:
Models: OpenAI, Anthropic, DeepSeek, Mistral
Get to know Shaheer
Shaheer
Senior Full Stack and AI Systems Engineer with 6 Years Experience
- FromPakistan
- Member sinceDec 2018
- Avg. response time1 hour
Languages
Urdu, English
Hi, I am Shaheer, a Senior Full-Stack Engineer with 6+ years of commercial experience building scalable web platforms, microservices, and AI integrations.
Core Expertise:
- AI and LLM: Autonomous Agents, RAG Pipelines, Vector DBs, LangChain
- Backend: Node.js, NestJS, Ruby on Rails, Python, PostgreSQL, Redis
- Frontend: React, Next.js, TypeScript, Tailwind CSS
- Cloud: Docker, AWS, CI/CD, TDD architecture with 90%+ test coverage
I engineer clean, high-performance code for funded startups and tech teams. Let us build together!
FAQ
Can you integrate AI into an existing codebase without breaking current features?
Yes. I follow strict architectural isolation and TDD practices. AI services are integrated as modular services or isolated endpoints, ensuring zero downtime and no disruption to your existing features.
Which LLM providers do you work with?
I integrate OpenAI, Anthropic, Google Gemini, open-source models (via Ollama or vLLM), or custom enterprise endpoints.
How do you prevent excessive API costs and slow responses?
I implement multi-tier caching (Redis), optimise token context windows, leverage vector embeddings for targeted RAG retrieval, and implement rate-limiting and streaming responses (SSE).
Will I get the full source code and documentation?
Yes, 100% of the IP and source code belong to you. Every deliverable includes setup instructions, API documentation, and test suites.
