Develop and deliver AI-driven enterprise quality software applications
Build scalable applications integrating Large Language Models and other AI tools (e.g. voice recognition, document parsing, image parsing, text to speech, RAG) into new and legacy codebases
Design and optimize data pipelines and datasets for AI system development and testing
Communicate modern AI concepts (LLMs, vector databases etc.) to non-technical audiences
Iteratively craft effective prompts to maximize LLM performance and implement prompt caching strategies
Maintain prompt libraries & benchmark performance
Fine-tune & serve GPT-family, Llama
Develop AI agents
Semantic Kernel
Prototype co-pilot experiences & autonomous workflows
Fully document all work at both the code level and application level
Collaborate with other staff and outside stakeholders on large projects

Minimum 2+ years of experience in Software development
B.S. degree in Computer Science or related engineering discipline, or equivalent experience
2+ years of experience developing AI-powered applications using LLMs, voice, image, or speech models
Experience with AI evaluation metrics (precision, recall, F1, AUC) and MLOps for scalable deployment
Proven ability to build RAG solutions using LangChain / LlamaIndex and vector databases
Strong experience with LLM optimization techniques (prompting, caching, cost awareness)
Proficiency in Python and AI/ML frameworks (OpenAI, TensorFlow, PyTorch)
Full-stack development experience, including Node.js (Express)
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with modern DevOps tools (Git, Docker, Kubernetes)
Strong analytical/problem-solving skills to derive insights from data

Senior Associate, AI Full Stack Software Engineer

Key skills