- Location
- Lahore, Punjab, Pakistan · published
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Workable
Description
- Design, build, and scale backend services and APIs using Python with FastAPI, Django, and Flask
- Build and ship agentic AI systems: multi-step agents, tool calling, MCP integrations, and orchestration with frameworks like LangChain/LangGraph, LlamaIndex, CrewAI, or the Claude Agent SDK
- Develop RAG pipelines, including document ingestion, chunking, embeddings, vector databases, retrieval tuning, and evaluation
- Integrate and optimize LLMs (OpenAI, Anthropic Claude, Gemini, open-source models) for accuracy, latency, and cost
- Build data pipelines, analytics, and ML workflows using Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow
- Set up LLM evaluation, guardrails, monitoring, and observability (LangSmith, Langfuse, or similar) for production AI systems
- Deploy and operate services on AWS, GCP, or Azure with Docker, Kubernetes, and CI/CD pipelines
- Lead technical design, break down work, mentor engineers, and set code-quality and AI-engineering standards
- Present AI solutions, demos, and technical roadmaps to clients, stakeholders, and leadership
- Take part in on-call rotations and production incident response