Generative AI & LLMs Engineer | RAG & AI Agents

Buggcy; Lahore; Sur place; PKR 1 500 000 - 2 800 000; Plein temps

Résumé du poste

Buggcy is seeking an AI Engineer to design, build, and deploy AI-powered applications. The role emphasizes end-to-end AI solutions, including RAG pipelines, agents, and API integrations, with direct sprint involvement.

The candidate will work on scalable backends using FastAPI/Flask, Docker, and cloud platforms, collaborating closely with engineers and product teams to deliver production-ready AI systems.

Qualifications

• 2+ years of professional AI/ML engineering or related software development experience.
• Strong proficiency in Python and hands-on experience with LLMs, Generative AI, and prompt engineering.
• Experience building RAG-based applications and familiarity with AI orchestration frameworks.
• Experience integrating LLM APIs and open-source models; understanding embeddings and vector databases.
• Knowledge of Git, Docker, and cloud deployment; ability to deliver with minimal supervision.

Responsabilités

• Design, develop, and deploy AI-powered applications using LLMs and Generative AI technologies.
• Build and optimize RAG pipelines for document retrieval and QA systems.
• Develop AI agents and multi-agent workflows using LangChain, LangGraph, or CrewAI.
• Integrate LLM APIs from OpenAI, Anthropic Claude, and open-source models.
• Implement prompt engineering, structured outputs, function calling, and tool integrations.
• Work with vector databases like Pinecone, Weaviate, ChromaDB, or FAISS.
• Fine-tune and optimize models for business use cases.
• Develop scalable backend APIs with FastAPI or Flask.
• Deploy AI apps using Docker and cloud platforms (AWS/Azure/GCP).
• Evaluate model performance, latency, and cost.
• Collaborate with engineers and product teams to deliver reliable AI solutions.

Connaissances

Python

LLMs

Generative AI

RAG

LangChain

LangGraph

CrewAI

LLM APIs

Embeddings

Vector databases

Pinecone

Weaviate

ChromaDB

FAISS

FastAPI

Docker

AWS

Azure

GCP

Git

CI/CD

MLOps

Security

Formation

Bachelor's degree in Computer Science, AI, Software Engineering, or related field

Outils

Pinecone

Weaviate

ChromaDB

FAISS

LangChain

LangGraph

CrewAI

OpenAI APIs

Anthropic Claude

Description du poste

Buggcy is seeking an AI Engineer to design, build, and deploy AI-powered applications. The role emphasizes end-to-end AI solutions, including RAG pipelines, agents, and API integrations, with direct sprint involvement.

The candidate will work on scalable backends using FastAPI/Flask, Docker, and cloud platforms, collaborating closely with engineers and product teams to deliver production-ready AI systems.