Gen AI

Job Description: Key Responsibilities

• Develop and implement **Generative AI solutions using LLMs (e.g., GPT, open\-source models)**
• Work on **prompt engineering** to improve model outputs and accuracy
• Build simple **AI\-powered applications** (chatbots, assistants, automation tools)
• Integrate AI models using **APIs (OpenAI, Azure OpenAI, Hugging Face, etc.)**
• Preprocess and manage **text and unstructured data**
• Assist in building **end\-to\-end pipelines** for GenAI applications
• Evaluate and monitor model performance (accuracy, latency, cost)
• Collaborate with data engineers and software developers on AI use cases
• Stay up to date with latest advancements in **AI and LLM ecosystems**

Required Skills

• Strong programming skills in **Python**
• Basic understanding of **Machine Learning and NLP concepts**
• Familiarity with **Generative AI / LLMs (theoretical or project\-based)**
• Knowledge of **REST APIs and JSON**
• Understanding of **data structures and problem\-solving**
• Ability to write clean, modular, and scalable code

Responsibilities: Key Responsibilities

• Develop and implement **Generative AI solutions using LLMs (e.g., GPT, open\-source models)**
• Work on **prompt engineering** to improve model outputs and accuracy
• Build simple **AI\-powered applications** (chatbots, assistants, automation tools)
• Integrate AI models using **APIs (OpenAI, Azure OpenAI, Hugging Face, etc.)**
• Preprocess and manage **text and unstructured data**
• Assist in building **end\-to\-end pipelines** for GenAI applications
• Evaluate and monitor model performance (accuracy, latency, cost)
• Collaborate with data engineers and software developers on AI use cases
• Stay up to date with latest advancements in **AI and LLM ecosystems**

Required Skills

• Strong programming skills in **Python**
• Basic understanding of **Machine Learning and NLP concepts**
• Familiarity with **Generative AI / LLMs (theoretical or project\-based)**
• Knowledge of **REST APIs and JSON**
• Understanding of **data structures and problem\-solving**
• Ability to write clean, modular, and scalable code

Qualifications: Key Responsibilities

• Develop and implement **Generative AI solutions using LLMs (e.g., GPT, open\-source models)**
• Work on **prompt engineering** to improve model outputs and accuracy
• Build simple **AI\-powered applications** (chatbots, assistants, automation tools)
• Integrate AI models using **APIs (OpenAI, Azure OpenAI, Hugging Face, etc.)**
• Preprocess and manage **text and unstructured data**
• Assist in building **end\-to\-end pipelines** for GenAI applications
• Evaluate and monitor model performance (accuracy, latency, cost)
• Collaborate with data engineers and software developers on AI use cases
• Stay up to date with latest advancements in **AI and LLM ecosystems**

Required Skills

• Strong programming skills in **Python**
• Basic understanding of **Machine Learning and NLP concepts**
• Familiarity with **Generative AI / LLMs (theoretical or project\-based)**
• Knowledge of **REST APIs and JSON**
• Understanding of **data structures and problem\-solving**
• Ability to write clean, modular, and scalable code