Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
Key Responsibilities
Develop and implement AI-powered applications using Large Language Models (LLMs) and frameworks such as Lang Graph and Claude Agent SDK and LLAMA Index.
Design and optimize prompt engineering workflows using models such as Claude 4.x and ChatGPT.
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.
Integrate AI models with SQL databases and enterprise data sources.
Develop backend services and automation scripts using Python.
Work with AI development tools such as GitHub Copilot, Cursor AI, and ChatGPT to accelerate development.
Build APIs using Fast API and services that integrate AI models with enterprise applications.
Optimize AI pipelines for performance, scalability, and cost efficiency.
Collaborate with product managers and developers to design AI-enabled features.
Stay updated with the latest developments in Generative AI, LLMs, and AI tooling.
Good to Have
Experience with Lang Chain, LlamaIndex, or similar AI frameworks
Exposure to embedding models and semantic search
Experience with cloud platforms (AWS, Azure, or GCP)
Understanding of AI deployment, containerization, and model APIs
SKILLS REQUIRED
1–2 years of experience in AI/ML or Generative AI development
Strong programming skills in Python
Hands-on experience working with LLMs (LLAMA, Claude, ChatGPT or similar)
Experience working with vector databases (such as Chroma DB, Qdrant, FAISS, etc.)
.NET MVC framework
Experience integrating AI models with SQL databases
Understanding of RAG (Retrieval Augmented Generation) architecture
Experience with prompt engineering and LLM fine-tuning concepts
Familiarity with REST APIs and backend integration
Experience using AI-assisted development tools such as Copilot, Cursor AI, or ChatGPT
