Senior Ai Developer
Költségvetés: $25.0 - $47.0
HOURLY / PART_TIME
⭐ 0.00 (0)
Pakistan
artificial-intelligence, python, machine-learning
Preferred qualifications
- Experience: Expert
We're looking for a Senior AI Developer to design, build, and deploy production-grade AI systems — not prototypes. This role involves building AI agents, RAG pipelines, and automation workflows that integrate with real business data and APIs.
What you'll work on:
- Design and build AI agents using LangChain/LangGraph (or similar frameworks) that reason, take actions, and call external tools/APIs
- Build and optimize RAG systems for document search, knowledge base QA, and support automation
- Integrate LLMs (OpenAI, Anthropic, open-source models) into existing backend systems
- Build/maintain APIs and backend services (Python — FastAPI/Django preferred)
- Set up workflow automation (n8n, custom scripts, webhooks)
- Deploy and monitor systems on cloud infrastructure (AWS/GCP/Azure)
- Write clean, documented, maintainable code with proper testing
Requirements:
- 4+ years of professional software engineering experience, with 2+ years specifically in AI/LLM systems
- Strong hands-on experience with LangChain, LangGraph, or comparable agent frameworks
- Proven experience building RAG systems (vector DBs like Pinecone, Weaviate, pgvector, etc.)
- Solid Python backend skills (FastAPI, Django, or Flask)
- Experience with OpenAI/Anthropic APIs or open-source LLM deployment
- Familiarity with cloud deployment (AWS preferred) and CI/CD basics
- Strong communication skills — must be able to explain technical decisions clearly
- Portfolio or GitHub showing real production AI work (not just tutorials/demos)
Nice to have:
- Experience with vector databases and embedding pipelines
- Frontend skills (React/Next.js) for full-stack delivery
- Experience with multi-tenant SaaS architectures
- Prior Upwork Top Rated / Top Rated Plus status
How to apply:
Please include a short summary of a similar AI agent/RAG project you've shipped to production, your preferred tech stack and why, and your availability (hours/week) and timezone overlap.
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