AI Full stack Software Engineer

Description

The team is CMM, part of a Fortune 10 healthcare company that delivers insights, products and services to make quality care more accessible and affordable.

You will design, build and deploy AI-powered features for healthcare products and services, working across front-end interfaces, back-end AI model integration and data pipelines.

Responsibilities

• Build and ship enterprise-grade software applications driven by AI.
• Develop scalable applications that connect LLMs and other AI tools, such as voice recognition, document and image parsing, text to speech and RAG, to both new and legacy code.
• Design and tune data pipelines and datasets used to build and test AI systems.
• Explain LLMs, vector databases and other modern AI concepts to non-technical audiences.
• Refine prompts to get the best LLM performance, and set up prompt caching.
• Maintain prompt libraries and benchmark their performance.
• Fine-tune and serve GPT-family and Llama models.
• Build AI agents with Semantic Kernel.
• Prototype co-pilot experiences and autonomous workflows.
• Document all work at the code and application level.
• Learn and adapt as the environment changes.
• Work with other staff and outside stakeholders on large projects.
• Stay motivated to build solutions and tackle complex problems.

Requirements

• At least 2 years of software development experience.
• At least 2 years building AI-enhanced applications using LLMs, voice, image or speech models.
• A Bachelor's degree in Computer Science or a related engineering field, or equivalent experience.
• Evaluate and optimise AI systems using precision, recall, F1-score and AUC-ROC, and apply MLOps for scalable, cost-efficient deployment.
• Build RAG systems from scratch or with LangChain or LlamaIndex, using vector databases for context-aware LLM applications.
• Expert in managing LLM costs through token pricing, input and output rates, prompt caching, batching and quantization.
• Understand GPT-3.5, GPT-4 and o1 "thinking" models well enough to pick and tune the right one.
• Analyse data to extract actionable insights.
• Use AI coding tools such as GitHub Copilot, Cursor or Codeium/Windsurf.
• Proficient in Python and AI libraries such as openai, TensorFlow and PyTorch.
• Healthcare domain knowledge, with the ability to turn clinical and business needs into AI solutions.
• Build Node.js web applications, for example with Express.js.
• Experience with AWS, GCP or Azure.
• Communicate effectively with technical, DevOps and product management teams.
• Experience with Git, Docker and Kubernetes.

Conditions

Priority goes to candidates living in the Atlanta, GA or Columbus, OH metropolitan areas.

The company cannot provide visa sponsorship for this role, now or in the future.

The company is an equal opportunity employer.

Benefits

• Pay is set by performance, experience and skills, equity, regular job market reviews and geographic market, within the company's pay philosophy and applicable regulations.
• A base pay range applies to this role, with other compensation such as an annual bonus or long-term incentives possibly offered on top.
• Part of the company's Total Rewards package.