Sr Software Engineer - Machine Learning

A79.ai is a VC-funded innovator focused on developing an agentic AI platform for enterprises, with a particular emphasis on the biopharma and life sciences industries. The enterprise-grade platform facilitates the rapid deployment of sophisticated AI agent workflows that continuously learn, adapt, and evolve, ultimately providing measurable ROI for pharmaceutical and biotech clients. As the Sr Software Engineer - Agentic AI, you will be responsible for leading the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to industries such as pharmaceuticals, biotech, and life sciences. This role necessitates a combination of deep technical engineering skills and domain expertise in biopharma analytics to enable clients to achieve new levels of automation, insight, and forecasting accuracy. Your responsibilities will include architecting, coding, and deploying agentic AI-powered systems that integrate life sciences data, market dynamics, and internal client datasets. You will also be involved in building advanced AI agents in Python, developing and optimizing reusable Python-based agent workflows, engineering robust data pipelines for system integration, and serving as the principal technical contact for enterprise clients. Qualifications for this role include a Bachelors or Masters degree in Computer Science, Data Science, Software Engineering, or a related technical discipline, along with 3 to 5+ years of hands-on engineering experience in AI/ML solutions, data pipelines, or enterprise analytics, preferably within the biopharma or life sciences industry. Advanced Python programming skills, familiarity with biotech and pharmaceutical use cases, experience with agentic AI platforms, cloud platforms, and containerized deployments are also desired. Strong communication skills and a high level of energy and commitment to delivering scalable, production-ready solutions are essential for this position. Industry: Software Development / Biotechnology Employment Type: Full-time,