AI Engineer

About the job

Role : AI Engineer – Agentic Frameworks & Foundation Models Location : Remote Duration : 12 months Summary : We are looking for an AI Engineer to build and deploy advanced AI systems leveraging agentic frameworks and foundation models for pharmaceutical applications. You will play a key role in developing scalable AI solutions that accelerate drug discovery and clinical research. Key Responsibilities • Engineer and deploy agent-based AI systems for healthcare and pharma-specific use cases. • Integrate and fine-tune foundation models for oncology and clinical trial data. • Collaborate with AI Scientists, Data Scientists, and Product Managers to deliver robust AI solutions. • Ensure scalability, reliability, and compliance of AI systems within regulated environments. • Contribute to platform development and software engineering for AI-driven clinical study tools. Qualifications : • Bachelor’s or master’s in computer science, AI, or related field. • 10–15 months of experience in developing agentic frameworks and working with foundation models. • Strong programming skills in Python, distributed systems, and cloud platforms (AWS / Azure / GCP). • Experience with pharma domain datasets and healthcare-specific AI applications. Preferred Skills : • Knowledge of computational biology and oncology. • Familiarity with Tangent Agents or similar frameworks. • Experience in building AI platforms for regulated industries. Interested, please share resume to ramya.k@sstech.us

Requirements

• Python
• distributed systems
• cloud platforms (AWS / Azure / GCP)

Qualifications

• Bachelor’s or master’s in computer science, AI, or related field

Preferred Technologies

• Python
• distributed systems
• cloud platforms (AWS / Azure / GCP)

About the company

Vista Applied Solutions Group Inc focuses on building and deploying advanced AI systems leveraging agentic frameworks and foundation models for pharmaceutical applications. They aim to develop scalable AI solutions that accelerate drug discovery and clinical research.