Sr. AWS AI Engineer
At a glance
Senior AI Engineering role at Cloudelligent. Lahore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Adapt and tune pre-trained AI models for specific industry use cases, then improve their speed, accuracy and efficiency
- Build AI workflows with AWS services, OpenAI, data platforms, and PostgreSQL with pgvector for retrieval and similarity search
- Use RAG, prompt design, and hallucination-reduction techniques to make model responses more useful and dependable
- Bring AI features into products with partner teams, and guide AI engineers through delivery and professional growth
- Track emerging AI methods and assess tools that could improve how solutions are built
What you bring
- At least five years developing AI/ML solutions, with substantial work on AWS AI services
- A bachelor's or master's in computer science, AI, machine learning, or another related field
- Strong Python skills and hands-on command of TensorFlow, PyTorch or Keras
- Practical expertise spanning AWS AI and data services, Azure OpenAI, agent frameworks, vector search, and end-to-end model development
- A record of leading AI/ML projects and explaining complex work to technical and non-technical audiences
Who this fits
This senior role suits an AI/ML engineer ready to lead projects and manage an engineering team. The job is based in Lahore, with working hours from 8:00 am to 5:00 pm US Central Time.
From the employer
Position Title: Sr. AWS AI Engineer
Location: Lahore
Timings: 8:00 am- 5:00 pm CST (US Central Time)
About Cloudelligent
Cloudelligent is Cloud-native consultancy and AWS Premier consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.
Job Objective
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions.
Responsibilities:
- Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.
- Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.
- Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.
- Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.
- Apply techniques to reduce AI hallucination and enhance model reliability.
- Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.
- Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.
- Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.
- Engage in prompt engineering to enhance model interaction and output quality.
- Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
- 5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
- Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.
- In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.
- Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.
- Experience with vector databases and similarity search techniques for scalable AI solutions.
- Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.
- Expertise in data preprocessing, feature engineering, and model evaluation at scale.
- Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.
- Experience implementing or integrating Amazon Connect with AWS AI Services to deliver intelligent customer engagement solutions.
- Knowledge of big data technologies such as Apache Spark or Hadoop.
- Familiarity with data visualization tools and techniques.
- Relevant certifications (e.g., AWS Certified Generative AI Developer- Professional, AWS Certified Machine Learning – Associate, AWS Certified AI Practitioner).