
AI Solutions Architect
5 days ago
We are seeking a highly skilled Senior Generative AI Expert with expert-level experience in LLMs, OpenAI APIs, prompt engineering, and retrieval-augmented generation (RAG). This is a senior, hands-on role—ideal for someone who has already mastered these technologies and is ready to deliver production-ready solutions. This is not a learning-on-the-job position.
You will work with our internal team and clients to design, build, and optimize AI-powered applications with high-performance standards and robust infrastructure integration.
- Design and implement LLM-driven features using OpenAI API (including reasoning vs. non-reasoning models, model versioning, temperature settings, and best practices).
- Apply advanced prompt engineering and model tuning techniques to drive performance and accuracy.
- Build retrieval-augmented generation (RAG) systems using Langchain and ChromaDB.
- Develop interactive AI tools and UIs using Gradio.
- Ensure seamless SSO integration and secure access controls.
- Implement Dockerized environments for scalable deployments.
- Connect and automate data pipelines including Google Drive integration.
- Write clean, maintainable code in Python, and contribute to a collaborative, agile development environment.
Key qualifications include 3–5+ years of experience in AI/ML development, with proven, expert-level hands-on work in LLMs and Generative AI. Mastery of the OpenAI API, including reasoning capabilities, temperature control, and fine-tuning parameters, as well as strong Python development skills, production-level experience with Langchain, ChromaDB, and RAG architectures, and proficiency with Gradio for front-end prototyping.
This is a remote, ongoing contract position that requires strong problem-solving and communication skills, and the ability to work independently and collaborate across time zones. The ideal candidate will have a deep understanding of Generative AI and its applications, as well as experience with other vector databases and frameworks, MLOps or AI infrastructure tooling, and previous experience in healthcare, biotech, or highly regulated domains.
We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment.
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