Gen AI Engineer

MinutestoSeconds is a dynamic organization specializing in outsourcing services, digital marketing, IT recruitment, and custom IT projects. We partner with SMEs, mid-sized companies, and niche professionals to deliver tailored solutions.

We would love the opportunity to work with YOU!!

Requirements

Job Description:

As a Gen AI Engineer at StatusNeo, you will be responsible for developing, optimizing, and

deploying AI models and solutions with a focus on Generative AI, Prompt Engineering,

Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs). You

will collaborate closely with cross-functional teams to design and implement scalable AI

solutions on various cloud platforms.

Key Responsibilities:

• AI Model Development: Design, train, and fine-tune generative AI models, LLMs,
  
  

and RAG models to address specific business use cases.

• Prompt Engineering: Develop, test, and optimize prompts to enhance the
  
  

performance and accuracy of AI models in generating desired outputs.

• Cloud Expertise: Deploy and manage AI models on cloud platforms (e.g., AWS,
  
  

Azure, GCP) ensuring scalability, security, and cost-efficiency.

• Data Management: Collaborate with data scientists and engineers to ensure high-
  
  

quality data ingestion, preprocessing, and feature engineering.

• Model Evaluation & Tuning: Continuously monitor and evaluate model
  
  

performance, making adjustments to improve accuracy and efficiency.

• Innovation: Stay up-to-date with the latest advancements in AI, LLMs, and cloud
  
  

technologies, and incorporate new techniques and tools into the development

process.

• Collaboration: Work closely with product managers, software engineers, and other
  
  

stakeholders to integrate AI solutions into products and services.

• Documentation: Maintain comprehensive documentation of models, algorithms,
  
  

and development processes to ensure transparency and reproducibility.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data
  
  

Science, or a related field.

• Experience:
• Proven experience in developing and deploying AI models, particularly in
  
  

Generative AI, LLMs, and RAG models.

• Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI/ML
  
  

workloads.

Strong background in Prompt Engineering and AI model optimization

techniques.

• Technical Skills:
• Proficiency in programming languages such as Python, TensorFlow, PyTorch,
  
  

or similar frameworks.

• Experience with NLP, machine learning algorithms, and data preprocessing.
• Knowledge of containerization and orchestration tools (e.g., Docker,
  
  

Kubernetes) is a plus.

• Familiarity with MLOps practices and tools for continuous integration and
  
  

deployment.

• Soft Skills:
• Strong problem-solving skills and the ability to work in a fast-paced
  
  

environment.

Excellent communication and teamwork abilities.

Eagerness to learn and adapt to new technologies and methodologies.