Sr Associate AI Full stack Software Engineer

We are seeking a highly skilled and experienced Sr. Associate AI Full stack Software Engineer to join our innovative team. This role will be responsible for designing developing and deploying end-to-end AI-powered software solutions from front-end user interfaces to back-end services and AI model integration within the healthcare domain.

Responsibilities

• 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.

• The ability to learn and adapt in a changing environment.

• Collaborate with other staff and outside stakeholders on large projects.

• Must be passionate about creating solutions and solving complex problems.

Priority will be given to candidates who reside in the Columbus OH metropolitan area.

We are unable to provide sponsorship for this role presently or in the future.

Minimum Qualifications

• Minimum 2 years of experience in Software development.

• B.S. degree in Computer Science or related engineering discipline or equivalent experience

Critical Skills

• 2 years of experience developing AI-powered applications using LLMs voice image or speech models

• Experience with AI evaluation metrics (precision recall F1 AUC) andMLOpsfor scalable deployment

• Proven ability to build RAG solutions usingLangChain/LlamaIndexand vector databases

• Strong experience with LLM optimization techniques (prompting caching cost awareness)

• Proficiency in Python and AI/ML frameworks (OpenAI TensorFlowPyTorch)

• Full-stack development experience including (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

Preferred Skills

• Deep understanding of LLM model landscape (e.g. GPT variants emerging models)

• Experience with advanced LLM cost optimization techniques (batching quantization)

• Experience using AI coding assistants (GitHub Copilot CursorCodeium/Windsurf)

• Healthcare domain experience and ability to translate clinical/business needs into AI solutions

• Strong cross-functional communication skills across technical and non-technical stakeholders