Senior AI Engineer
Company: ChatGPT Jobs
Location: Location not specified (Remote)
Type: Full-time
Level: lead
Remote: Yes
Posted: 2026-02-13
About this role
Job Description
Senior AI Engineer
Doctor Evidence
Remote Nationwide,
- Remote
- Full-Time
Salary: DOE
Title: Senior AI Engineer
Reports to: VP, Software Engineering / Chief Architect
Status: Employee, Exempt
Location: Remote (must be located in the US)
Hire Date: Immediate
Company Summary
Dr.Evidence is the preeminent AI-powered insights platform for life sciences, enabling teams to generate rapid and relevant insights grounded in published medical literature, clinical trial data, drug labels, regulatory documents and beyond, delivering value from drug discovery through commercialization. We push the boundaries of healthcare technology and allow for new possibilities in science, enabling more informed decision making and faster time-to-market for accelerated impact.
Research & Development (r&d) Organization Summary
The Dr.Evidence R&D organization includes software engineers, QA/QC engineers, product management, scrum masters, and business analysts. R&D is responsible for all aspects of product development, from ideation to maintenance. Our software engineers are experienced, talented, precise, and move at a fast pace to ensure speed-to-market goals for our customers are met.
Responsibilities
- Research & Prototyping
- Rapidly prototype state-of-the-art ML/NLP/LLM architectures using frameworks like Python, PyTorch, Hugging Face, and LangChain/LangGraph.
- Assess open-source and commercial models (e.g., Llama 3, Mistral, GPT-series, Qwen, and other modern LLM architectures) for accuracy, latency, cost, hallucination risk, and compliance.
- Run structured model evaluations (accuracy, relevance, precision/recall, hallucination checks).
- Model Development & Training
- Build scalable training pipelines for supervised and self-supervised learning paradigms.
- Implement efficient techniques such as LoRA/QLoRA, instruction tuning, and quantization when needed.
- Develop agentic workfl...