Full-Stack Generative AI Developer

Job Descriptions:

AI Development

Design and implement generative AI features leveraging models like GPT-4, Llama, or other foundational models

Fine-tune and optimize AI models for specific use cases and domains (optional, good to have)

Create prompt engineering frameworks and templates to ensure consistent AI behavior

Develop retrieval-augmented generation (RAG) systems that combine vector databases with LLMs 

Required Skills & Experience 

Technical Skills

3+ years of full-stack development experience (JavaScript/TypeScript, Python(must))

1+ years working with AI/ML technologies, particularly generative AI 

Experience with at least one major LLM framework (LangChain, Langgraph) 

Proficiency with vector databases (Pinecone, Mongo, FAISS, etc.)

Strong understanding of REST APIs, GraphQL, and microservices architecture (Optional, Good to have) 

Experience with Git, Github actions, cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

AI-Specific Knowledge

Deep understanding of LLMs, including their capabilities and limitations

Experience with prompt engineering and RAG architecture

Knowledge of embedding models and vector similarity search

Understanding of AI evaluation metrics and testing methodologies

Preferred Qualifications

Experience developing commercial AI applications or products

Knowledge of AI safety practices and responsible AI deployment

Background in NLP, computer vision, or other AI specialties

Experience with streaming architectures for real-time AI applications