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This job expired on 20/07/2026. It no longer accepts applications.
Senior Full Stack AI Engineer
Advanced Asset Management · Lahore
Job description
About the role
We are looking for a Senior Full Stack AI Engineer who thrives on turning AI research into production‑ready systems. You will work in a remote‑first environment, shaping architecture, building end‑to‑end applications, and ensuring AI components run reliably at scale.
Key responsibilities
- Design and develop scalable AI‑powered web applications from front‑end to back‑end.
- Create responsive front‑ends using React.js, Next.js, TypeScript and Tailwind CSS.
- Build high‑performance backend services and APIs with Python and FastAPI.
- Implement RAG pipelines, AI agents, and LLM orchestration systems.
- Architect semantic search and vector retrieval solutions.
- Set up distributed, event‑driven architectures with queues, caching and message brokers.
- Deploy and manage cloud infrastructure, including GPU workloads for inference.
- Profile, benchmark and optimise systems for speed, cost and resilience.
- Contribute to technical decisions and mentor the team.
Required profile
- 5+ years of professional software engineering experience.
- Strong full‑stack expertise with proven production deployments.
- Hands‑on experience building AI/LLM‑driven products.
- Comfort with cloud platforms and infrastructure automation.
- Ability to design architecture and make impactful technical choices.
Required skills
- React.js, Next.js, TypeScript, Tailwind CSS, Redux, Zustand
- Server‑Side Rendering, Static Site Generation, WebSocket integration
- Python, FastAPI, RESTful APIs, async programming, microservices
- PostgreSQL, MongoDB, Redis, RabbitMQ, Kafka, Celery, BullMQ
- API gateway design, Auth & RBAC
- LangChain, LangGraph, LlamaIndex, RAG pipelines, prompt engineering
- OpenAI, Claude, Llama, Mistral, Gemini, Hugging Face Transformers
- LoRA, QLoRA, PEFT, model quantization, GPU inference optimization (vLLM, Ollama, TGI)
- CUDA fundamentals, batch inference pipelines
- Pinecone, Weaviate, Qdrant, ChromaDB, FAISS, Milvus
- Docker, Kubernetes, AWS, GCP, Azure, CI/CD pipelines
- Nginx, Linux administration, GPU infrastructure
- Cloudflare, CloudFront, S3, GCS, Prometheus, Grafana, ELK Stack
- Terraform, Ansible
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Advanced Asset Management
Lahore
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