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.
Adapt in a changing environment.

Minimum 4+ years of experience in Software development
B.S. degree in Computer Science or related engineering discipline, or equivalent experience
Minimum 4+ years of experience in developing AI-enhanced applications using LLMs, voice, image, or speech models.
Proficiency in Python and AI related python libraries such as openai, tensorflow, pytorch
Proficient in sensitivity metrics (precision, recall, F1-score, AUC-ROC) and MLOps for scalable, cost-efficient AI deployment.
Skilled in building RAG systems from scratch or with LangChain / LlamaIndex, using vector databases for context-aware LLM applications.
Experience using AI coding tools (e.g. Github Copilot, Cursor, Codeium /Windsurf)
Expert in managing LLM costs (token pricing, input/output rates) via prompt caching, batching, and quantization.
Deep understanding of LLM advancements (GPT-3.5 vs GPT-4 vs o1/”thinking” models) for informed model selection and tuning.
Exceptional analytical skills to extract actionable insights from data
Healthcare Domain Expertise, Translate clinical/business needs into AI solutions.
Proficiency in creating Node.js web apps (e.g. Express.js)
Experience with cloud (AWS/GCP/Azure)
Effective communication skills to collaborate with technical, DevOps and product management teams.
Experience with Git, Docker, and Kubernetes.

AI Full Stack Software Engineer

Key skills