Senior AWS AI Engineer: Innovate & Deploy AI Solutions

Cloudelligent; Karachi Division; On-site; PKR 3,000,000 - 6,000,000; Full time

Job summary

Cloudelligent in Karachi is seeking a Senior AWS AI Engineer to lead the development and deployment of AI models within cloud‑native solutions. You will implement, optimize, and scale AI/ML systems, mentoring a team of engineers and collaborating with product and data teams to deliver AI‑driven features.

The ideal candidate has 5+ years in AI/ML with AWS services, strong Python, and experience with SageMaker, Bedrock, OpenAI integrations, and vector databases for scalable retrieval‑augmented

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, ML, or related field.
• 5+ years hands‑on AI/ML development with AWS services.
• Proficient in Python; frameworks: TensorFlow, PyTorch, Keras.
• Extensive experience with AWS AI services: SageMaker, Bedrock; integrating Azure OpenAI.
• Deep knowledge of AWS data services: Athena, Redshift, Glue; applying in pipelines.
• Expertise in Agentic Behavior and deploying models with CrewAI, LangGraph, Langchain.
• Experience with vector databases and similarity search for scalable AI solutions.
• Understanding of CNNs, RNNs, transformers; building end‑to‑end solutions.
• Data preprocessing, feature engineering, and model evaluation at scale.
• Proven ability to lead AI/ML projects and communicate with stakeholders.

Responsibilities

• Implement and fine‑tune pre‑trained AI models for industry needs.
• Leverage AWS AI services to streamline development and deployment.
• Utilize AWS data services (Athena, Redshift, OpenSearch, Kendra, Glue).
• Optimize models for performance, accuracy, and efficiency.
• Reduce AI hallucination and enhance reliability.
• Apply Retrieval‑Augmented Generation (RAG) techniques.
• Work with PostgreSQL pgvector for similarity search.
• Collaborate with teams to integrate AI capabilities into products.
• Engage in prompt engineering to improve interactions.
• Stay updated on AI trends and adopt new tools.

Skills

Python

TensorFlow

PyTorch

Keras

AWS Bedrock

Amazon SageMaker

OpenAI

Azure OpenAI

LangChain

CrewAI

LangGraph

pgvector

PostgreSQL

RAG

Prompt engineering

Vector databases

Transformers

End-to-end pipelines

Team leadership

Education

Bachelor's or Master's in Computer Science/AI

Tools

AWS Glue

Amazon Athena

Amazon Redshift

OpenSearch

Kendra

Job description

Cloudelligent in Karachi is seeking a Senior AWS AI Engineer to lead the development and deployment of AI models within cloud‑native solutions. You will implement, optimize, and scale AI/ML systems, mentoring a team of engineers and collaborating with product and data teams to deliver AI‑driven features.

The ideal candidate has 5+ years in AI/ML with AWS services, strong Python, and experience with SageMaker, Bedrock, OpenAI integrations, and vector databases for scalable retrieval‑augmented